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    Dynamic Exercises

    + +
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    +
    + + + + +
    + +
    +

    Dynamic Exercises#

    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
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    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Dynamic Exercises/colloc_matrix.html b/_build/html/Material/Dynamic Exercises/colloc_matrix.html new file mode 100644 index 00000000..bad1b099 --- /dev/null +++ b/_build/html/Material/Dynamic Exercises/colloc_matrix.html @@ -0,0 +1,606 @@ + + + + + + + + + + + Collocation Matrix — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + + + +
    +

    Collocation Matrix

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Collocation Matrix#

    +
    +
    +
    import numpy
+
+cp = [0, 0.155051, 0.644949, 1]
+
+a = []
+
+print('[')
+for i in range(len(cp)):
+    ptmp = []
+    tmp = 0
+    for j in range(len(cp)):
+        if j != i:
+            row = []
+            row.insert(0,1/(cp[i]-cp[j]))
+            row.insert(1,-cp[j]/(cp[i]-cp[j]))
+            ptmp.insert(tmp,row)
+            tmp += 1
+    p=[1]
+    for j in range(len(cp)-1):
+        p = numpy.convolve(p,ptmp[j])
+    pder = numpy.polyder(p,1)
+    arow = []
+    for j in range(len(cp)):
+        arow.append(numpy.polyval(pder,cp[j]))
+    a.append(arow)
+    print(str(arow)+',')
+print(']')
+
    +
    +
    +
    +
    [
+[np.float64(-9.000001008080126), np.float64(-4.139388773624379), np.float64(1.7393879671602779), np.float64(-3.0000002520200333)],
+[np.float64(10.048810106494384), np.float64(3.2247461916839306), np.float64(-3.567840077120941), np.float64(5.531972415060627)],
+[np.float64(-1.382142403745367), np.float64(1.1678398419022438), np.float64(0.7752546483828548), np.float64(-7.53197233105394)],
+[np.float64(0.33333330533110994), np.float64(-0.25319725996179565), np.float64(1.0531974615778044), np.float64(5.000000168013341)],
+]
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
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    + + +
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    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Dynamic Exercises/param_est1.html b/_build/html/Material/Dynamic Exercises/param_est1.html new file mode 100644 index 00000000..55961ec3 --- /dev/null +++ b/_build/html/Material/Dynamic Exercises/param_est1.html @@ -0,0 +1,712 @@ + + + + + + + + + + + Parameter Estimation 1 — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + +
    + +
    +
    + + + +
    +

    Parameter Estimation 1

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Parameter Estimation 1#

    +
    +\[min \sum ((X_{1}(t_{i}) - X_{1,meas}(t_i))^{2})\]
    +
    +\[s.t \;\; X_{1,dot} = X_{2} \;\;\;\;\;\;\;\; X_{1}(0) = p_{1}\]
    +
    +\[\;\; X_{2,dot} = 1-2*X_{2}-X_{1} \;\;\;\;\;\;\;\; X_{2}(0) = p_{2}\]
    +
    +\[-1.5 \leq p_{1}, p_{2} \leq 1.5\]
    +
    +\[t_{f} = 6\]
    +
    +
    +
    import pyomo.environ as pyo
+from pyomo.dae import ContinuousSet, DerivativeVar
+
+measurements = {1:0.264, 2:0.594, 3:0.801, 5:0.959}
+
+model = pyo.ConcreteModel()
+model.t = ContinuousSet(initialize=measurements.keys(),bounds=(0, 6))	
+
+model.x1 = pyo.Var(model.t)
+model.x2 = pyo.Var(model.t)
+
+model.p1 = pyo.Var(bounds=(-1.5,1.5))
+model.p2 = pyo.Var(bounds=(-1.5,1.5))
+
+model.x1dot = DerivativeVar(model.x1,wrt=model.t)
+model.x2dot = DerivativeVar(model.x2)
+
+def _init_conditions(model):
+	yield model.x1[0] == model.p1
+	yield model.x2[0] == model.p2
+model.init_conditions = pyo.ConstraintList(rule=_init_conditions)
+
+# Alternate way to declare initial conditions
+#def _initx1(model):
+#	return model.x1[0] == model.p1		
+#model.initx1 = pyo.Constraint(rule=_initx1)
+
+#def _initx2(model):
+#	return model.x2[0] == model.p2
+#model.initx2 = pyo.Constraint(rule=_initx2)
+
+def _x1dot(model,i):
+	return model.x1dot[i] == model.x2[i]
+model.x1dotcon = pyo.Constraint(model.t, rule=_x1dot)
+
+def _x2dot(model,i):
+	return model.x2dot[i] == 1-2*model.x2[i]-model.x1[i]
+model.x2dotcon = pyo.Constraint(model.t, rule=_x2dot)
+
+def _obj(model):
+	return sum((model.x1[i]-measurements[i])**2 for i in measurements.keys())
+model.obj = pyo.Objective(rule=_obj)
+
+# Discretize model using Orthogonal Collocation
+discretizer = pyo.TransformationFactory('dae.collocation')
+discretizer.apply_to(model,nfe=8,ncp=5)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+
+results = solver.solve(model,tee=True)
+
+t_meas = sorted(list(measurements.keys()))
+x1_meas = [pyo.value(measurements[i]) for i in sorted(measurements.keys())]
+
+t = list(model.t)
+x1 = [pyo.value(model.x1[i]) for i in model.t]
+    
+import matplotlib.pyplot as plt
+
+plt.plot(t,x1)
+plt.plot(t_meas,x1_meas,'o')
+plt.xlabel('t')
+plt.ylabel('x')
+plt.title('Dynamic Parameter Estimation Using Collocation')
+plt.show()
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 51
+     48 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     49 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 51 results = solver.solve(model,tee=True)
+     53 t_meas = sorted(list(measurements.keys()))
+     54 x1_meas = [pyo.value(measurements[i]) for i in sorted(measurements.keys())]
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Dynamic Exercises/param_est2.html b/_build/html/Material/Dynamic Exercises/param_est2.html new file mode 100644 index 00000000..c3cdaa69 --- /dev/null +++ b/_build/html/Material/Dynamic Exercises/param_est2.html @@ -0,0 +1,1006 @@ + + + + + + + + + + + Parameter Estimation 2 — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
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    + + + Ctrl+K +
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    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    Parameter Estimation 2

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Parameter Estimation 2#

    +

    Here we work through an example of Kinetic Parameter Estimation.

    +

    First we simulate the kinematic behaviour

    +
    +
    +
    import pyomo.environ as pyo
+from pyomo.dae import ContinuousSet, DerivativeVar, Simulator
+import scipy
+
+m = pyo.ConcreteModel()
+
+m.t = ContinuousSet(bounds=(0,1))
+m.a = pyo.Var(m.t)
+m.b = pyo.Var(m.t)
+
+m.k1 = pyo.Param(initialize=5)
+m.k2 = pyo.Param(initialize=1)
+
+m.dadt = DerivativeVar(m.a)
+m.dbdt = DerivativeVar(m.b)
+
+m.a[0].fix(1)
+m.b[0].fix(0)
+
+def _da(m, t):
+    return m.dadt[t] == -m.k1*m.a[t]
+m.da_con = pyo.Constraint(m.t, rule=_da)
+
+def _db(m, t):
+    return m.dbdt[t] == m.k1*m.a[t] - m.k2*m.b[t]
+m.db_con = pyo.Constraint(m.t, rule=_db)
+
+mysim = Simulator(m, package='scipy')
+tsim, profiles = mysim.simulate(integrator='vode', numpoints=100)
+
+import matplotlib.pyplot as plt
+
+varorder = mysim.get_variable_order()
+for idx, v in enumerate(varorder):
+    plt.plot(tsim, profiles[:, idx], label=v)
+
+plt.xlabel('t')
+plt.legend(loc='best')
+plt.show()
+
+plt.show()
+
    +
    +
    +
    +../../_images/64e5436cbc7e8ecfa48fe974ac976e548fcda5e740ab7310e76bf863dc103839.png +
    +
    +

    Now let’s estimate the parameters

    +
    +
    +
    import pyomo.environ as pyo
+from pyomo.dae import ContinuousSet, DerivativeVar
+
+a_conc = {0.1:0.606, 0.2:0.368, 0.3:0.223, 0.4:0.135, 0.5:0.082,
+          0.6:0.05, 0.7:0.03, 0.8:0.018, 0.9:0.011, 1.0:0.007}
+
+b_conc = {0.1:0.373, 0.2:0.564, 0.3:0.647, 0.4:0.669, 0.5:0.656,
+          0.6:0.624, 0.7:0.583, 0.8:0.539, 0.9:0.494, 1.0:0.451}
+
+m = pyo.ConcreteModel()
+
+m.meas_time = pyo.Set(initialize=sorted(a_conc.keys()),ordered=True)
+m.ameas = pyo.Param(m.meas_time, initialize=a_conc)
+m.bmeas = pyo.Param(m.meas_time, initialize=b_conc)
+
+m.time = ContinuousSet(initialize=m.meas_time, bounds=(0,1))
+
+m.a = pyo.Var(m.time, bounds=(0,1))
+m.b = pyo.Var(m.time, bounds=(0,1))
+
+m.dadt = DerivativeVar(m.a)
+m.dbdt = DerivativeVar(m.b)
+
+m.k1 = pyo.Var()
+m.k2 = pyo.Var()
+
+def _a_diffeq(m,t):
+    return m.dadt[t] == -m.k1*m.a[t]
+m.a_diffeq = pyo.Constraint(m.time, rule=_a_diffeq)
+
+def _b_diffeq(m,t):
+    return m.dbdt[t] == m.k1*m.a[t] - m.k2*m.b[t]
+m.b_diffeq = pyo.Constraint(m.time, rule=_b_diffeq)
+
+m.ainit = pyo.Constraint(expr=m.a[0]==1)
+m.binit = pyo.Constraint(expr=m.b[0]==0)
+
+def _obj(m):
+    return sum((m.a[t]-m.ameas[t])**2+(m.b[t]-m.bmeas[t])**2 for t in m.meas_time)
+m.obj = pyo.Objective(rule=_obj)
+
+discretizer = pyo.TransformationFactory('dae.collocation')
+discretizer.apply_to(m,nfe=10,ncp=3,scheme='LAGRANGE-RADAU')
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(m, tee=True)
+
+print('k1= '+str(pyo.value(m.k1)))
+print('k2= '+str(pyo.value(m.k2)))
+
+meas_time = list(m.meas_time)
+a_meas = [pyo.value(m.ameas[i]) for i in m.meas_time]
+b_meas = [pyo.value(m.bmeas[i]) for i in m.meas_time]
+
+t = list(m.time)
+a = [pyo.value(m.a[i]) for i in m.time]
+b = [pyo.value(m.b[i]) for i in m.time]
+    
+import matplotlib.pyplot as plt
+
+plt.plot(t,a,label='A')
+plt.plot(t,b,label='B')
+plt.plot(meas_time,a_meas,'o')
+plt.plot(meas_time,b_meas,'o')
+plt.legend(loc='best')
+plt.xlabel('t')
+plt.ylabel('concentration')
+plt.title('Kinetic Parameter Estimation')
+plt.show()
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[2], line 47
+     45 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     46 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 47 solver.solve(m, tee=True)
+     49 print('k1= '+str(pyo.value(m.k1)))
+     50 print('k2= '+str(pyo.value(m.k2)))
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    +
    +
    import pyomo.environ as pyo
+from pyomo.dae import ContinuousSet, DerivativeVar
+
+a_conc = {0.1:0.606, 0.2:0.368, 0.3:0.223, 0.4:0.135, 0.5:0.082,
+          0.6:0.05, 0.7:0.03, 0.8:0.018, 0.9:0.011, 1.0:0.007}
+
+b_conc = {0.1:0.373, 0.2:0.564, 0.3:0.647, 0.4:0.669, 0.5:0.656,
+          0.6:0.624, 0.7:0.583, 0.8:0.539, 0.9:0.494, 1.0:0.451}
+
+m = pyo.ConcreteModel()
+
+m.meas_time = pyo.Set(initialize=sorted(a_conc.keys()),ordered=True)
+m.ameas = pyo.Param(m.meas_time, initialize=a_conc)
+m.bmeas = pyo.Param(m.meas_time, initialize=b_conc)
+
+m.time = ContinuousSet(initialize=m.meas_time, bounds=(0,1))
+
+m.a = pyo.Var(m.time, bounds=(0,1))
+m.b = pyo.Var(m.time, bounds=(0,1))
+
+m.dadt = DerivativeVar(m.a)
+m.dbdt = DerivativeVar(m.b)
+
+m.k1 = pyo.Var()
+m.k2 = pyo.Var()
+
+def _a_diffeq(m,t):
+    return m.dadt[t] == -m.k1*m.a[t]
+m.a_diffeq = pyo.Constraint(m.time, rule=_a_diffeq)
+
+def _b_diffeq(m,t):
+    return m.dbdt[t] == m.k1*m.a[t] - m.k2*m.b[t]
+m.b_diffeq = pyo.Constraint(m.time, rule=_b_diffeq)
+
+m.ainit = pyo.Constraint(expr=m.a[0]==1)
+m.binit = pyo.Constraint(expr=m.b[0]==0)
+
+def _obj(m):
+    return sum((m.a[t]-m.ameas[t])**2+(m.b[t]-m.bmeas[t])**2 for t in m.meas_time)
+m.obj = pyo.Objective(rule=_obj)
+
+discretizer = pyo.TransformationFactory('dae.collocation')
+discretizer.apply_to(m,nfe=10,ncp=3,scheme='LAGRANGE-RADAU')
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(m, tee=True)
+
+print('k1= '+str(pyo.value(m.k1)))
+print('k2= '+str(pyo.value(m.k2)))
+
+meas_time = list(m.meas_time)
+a_meas = [pyo.value(m.ameas[i]) for i in m.meas_time]
+b_meas = [pyo.value(m.bmeas[i]) for i in m.meas_time]
+
+t = list(m.time)
+a = [pyo.value(m.a[i]) for i in m.time]
+b = [pyo.value(m.b[i]) for i in m.time]
+    
+import matplotlib.pyplot as plt
+
+plt.plot(t,a,label='A')
+plt.plot(t,b,label='B')
+plt.plot(meas_time,a_meas,'o')
+plt.plot(meas_time,b_meas,'o')
+plt.legend(loc='best')
+plt.xlabel('t')
+plt.ylabel('concentration')
+plt.title('Kinetic Parameter Estimation')
+plt.show()
+
    +
    +
    +
    +
    Ipopt 3.9.1: 
+
+******************************************************************************
+This program contains Ipopt, a library for large-scale nonlinear optimization.
+ Ipopt is released as open source code under the Common Public License (CPL).
+         For more information visit http://projects.coin-or.org/Ipopt
+******************************************************************************
+
+NOTE: You are using Ipopt by default with the MUMPS linear solver.
+      Other linear solvers might be more efficient (see Ipopt documentation).
+
+
+This is Ipopt version 3.9.1, running with linear solver mumps.
+
+Number of nonzeros in equality constraint Jacobian...:      550
+Number of nonzeros in inequality constraint Jacobian.:        0
+Number of nonzeros in Lagrangian Hessian.............:       82
+
+Total number of variables............................:      126
+                     variables with only lower bounds:        0
+                variables with lower and upper bounds:       62
+                     variables with only upper bounds:        0
+Total number of equality constraints.................:      124
+Total number of inequality constraints...............:        0
+        inequality constraints with only lower bounds:        0
+   inequality constraints with lower and upper bounds:        0
+        inequality constraints with only upper bounds:        0
+
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+   0 3.6615861e+000 9.90e-001 5.94e-002  -1.0 0.00e+000    -  0.00e+000 0.00e+000   0
+   1 3.6629897e+000 9.88e-001 7.45e-001  -1.7 1.87e+002    -  1.01e-002 2.51e-003h  4
+   2 3.6603131e+000 9.75e-001 1.30e+000  -1.7 1.72e+002    -  1.69e-002 1.30e-002f  2
+   3 3.6608441e+000 9.74e-001 1.33e+001  -1.7 2.68e+002    -  5.93e-002 3.38e-004h  6
+   4 3.5037068e+000 8.92e-001 1.43e+001  -1.7 1.09e+002    -  4.56e-002 8.43e-002f  1
+   5 3.4924703e+000 8.73e-001 3.43e+002  -1.7 1.49e+002    -  5.89e-001 2.12e-002h  3
+   6 3.3768345e+000 7.61e-001 6.01e+002  -1.7 8.52e+001    -  7.87e-002 1.29e-001h  2
+   7 3.3421277e+000 7.11e-001 6.56e+002  -1.7 6.92e+001    -  4.48e-001 6.53e-002H  1
+   8 3.3131009e+000 6.49e-001 7.61e+002  -1.7 9.22e+001    -  3.90e-002 8.81e-002h  3
+   9 3.2866091e+000 5.80e-001 7.80e+002  -1.7 1.21e+002    -  2.37e-001 1.06e-001h  3
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  10 3.0889266e+000 7.63e-001 1.80e+002  -1.7 6.41e+001    -  5.95e-001 9.90e-001H  1
+  11 3.1019027e+000 2.49e-001 2.25e+002  -1.7 2.44e+001    -  3.31e-001 9.90e-001h  1
+  12 2.6900557e+000 1.11e+001 2.08e+004  -1.7 8.92e+001    -  3.72e-001 9.90e-001h  1
+  13 2.5940881e+000 1.04e+001 2.15e+004  -1.7 2.48e+002    -  3.77e-002 3.89e-002h  1
+  14 2.5828123e+000 1.03e+001 1.94e+004  -1.7 7.45e+001  -2.0 7.81e-003 6.23e-003h  1
+  15 2.6632291e+000 1.26e+001 3.37e+005  -1.7 1.21e+002    -  9.94e-003 2.69e-001f  1
+  16 2.7587278e+000 1.19e+001 3.93e+005  -1.7 3.75e+001  -0.7 9.59e-003 6.72e-002h  1
+  17 2.7634022e+000 1.19e+001 3.32e+005  -1.7 4.07e+001  -1.1 4.56e-002 1.84e-003h  1
+  18 2.9029379e+000 1.15e+001 2.76e+005  -1.7 1.45e+002  -1.6 5.70e-002 2.07e-002h  1
+  19 2.9064212e+000 1.15e+001 1.94e+005  -1.7 1.46e+001    -  3.65e-001 1.98e-003h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  20 2.9777819e+000 1.09e+001 2.62e+005  -1.7 9.65e+000    -  1.39e-001 5.63e-002h  1
+  21 2.9781801e+000 1.08e+001 2.63e+005  -1.7 8.00e+000    -  2.31e-003 3.28e-004h  2
+  22 3.0173374e+000 1.05e+001 2.25e+005  -1.7 6.47e+000    -  4.77e-004 3.45e-002f  2
+  23 3.0623458e+000 1.01e+001 4.69e+005  -1.7 6.66e+000    -  3.29e-001 3.84e-002h  3
+  24 3.0978406e+000 9.78e+000 4.85e+005  -1.7 6.78e+000    -  7.44e-002 2.96e-002h  3
+  25 3.1115858e+000 9.67e+000 6.90e+005  -1.7 6.84e+000    -  3.48e-001 1.13e-002h  4
+  26 3.2162760e+000 8.90e+000 6.63e+005  -1.7 6.85e+000    -  1.40e-001 8.01e-002h  1
+  27 3.2173913e+000 8.89e+000 6.66e+005  -1.7 7.20e+000    -  8.13e-003 8.57e-004h  1
+  28 3.2202040e+000 8.83e+000 6.59e+005  -1.7 3.29e+001    -  5.29e-005 6.29e-003f  1
+  29 3.2628294e+000 8.10e+000 5.89e+005  -1.7 3.17e+001    -  4.70e-002 8.35e-002h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  30 3.2633851e+000 8.09e+000 5.96e+005  -1.7 2.40e+001    -  1.97e-002 7.38e-004h  1
+  31 3.2630525e+000 8.08e+000 5.94e+005  -1.7 4.97e+001    -  1.43e-005 1.45e-003f  1
+  32 3.2712218e+000 7.58e+000 5.52e+005  -1.7 4.12e+001    -  4.76e-002 6.18e-002f  1
+  33 3.2713560e+000 7.57e+000 5.54e+005  -1.7 3.50e+001    -  7.06e-003 4.92e-004h  1
+  34 3.1338693e+000 3.99e+000 4.64e+005  -1.7 3.06e+002    -  1.22e-004 9.56e-002h  1
+  35 3.1335676e+000 3.89e+000 4.55e+005  -1.7 6.09e+001    -  2.86e-002 2.32e-002h  1
+  36 3.1335214e+000 3.89e+000 4.55e+005  -1.7 6.01e+001    -  4.94e-004 3.26e-004h  1
+  37 3.1335183e+000 3.89e+000 4.76e+005  -1.7 4.48e+001    -  5.28e-002 6.27e-005h  1
+  38 3.1241874e+000 3.74e+000 4.43e+005  -1.7 5.23e+001    -  1.60e-004 3.83e-002f  1
+  39 3.1171869e+000 3.55e+000 4.16e+005  -1.7 4.84e+001    -  3.90e-002 5.14e-002f  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  40 3.1151200e+000 3.38e+000 3.77e+005  -1.7 4.54e+001    -  5.65e-004 4.92e-002h  1
+  41 3.1151686e+000 3.38e+000 3.78e+005  -1.7 4.23e+001    -  3.53e-003 4.13e-004h  1
+  42 3.1154084e+000 3.15e+000 3.28e+005  -1.7 4.45e+001    -  2.27e-004 6.71e-002f  1
+  43 3.1155587e+000 3.15e+000 3.32e+005  -1.7 4.14e+001    -  1.13e-002 4.63e-004h  1
+  44 3.1167299e+000 3.12e+000 3.26e+005  -1.7 4.37e+001    -  4.19e-005 8.91e-003h  1
+  45 3.1215632e+000 3.05e+000 3.27e+005  -1.7 4.35e+001    -  4.96e-002 2.54e-002f  1
+  46 3.1220781e+000 3.04e+000 3.26e+005  -1.7 4.41e+001    -  6.82e-005 1.62e-003h  1
+  47 3.1288284e+000 2.98e+000 3.15e+005  -1.7 4.42e+001    -  1.02e-002 2.09e-002f  1
+  48 3.1399760e+000 2.89e+000 2.93e+005  -1.7 4.64e+001    -  1.14e-004 3.23e-002f  1
+  49 3.1401932e+000 2.89e+000 2.93e+005  -1.7 5.09e+001    -  7.52e-004 3.18e-004h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  50 3.1487231e+000 2.84e+000 2.81e+005  -1.7 5.06e+001    -  5.58e-004 1.93e-002f  1
+  51 3.1489225e+000 2.83e+000 2.81e+005  -1.7 5.54e+001    -  7.21e-004 2.82e-004h  1
+  52 3.1573389e+000 2.80e+000 2.75e+005  -1.7 5.50e+001    -  5.16e-003 1.31e-002f  1
+  53 3.1707023e+000 2.74e+000 2.61e+005  -1.7 5.78e+001    -  1.59e-004 2.25e-002f  1
+  54 3.1715876e+000 2.74e+000 2.60e+005  -1.7 6.38e+001    -  1.14e-003 1.30e-003h  1
+  55 3.1802329e+000 2.71e+000 2.53e+005  -1.7 6.32e+001    -  4.01e-003 1.37e-002f  1
+  56 3.1895650e+000 2.68e+000 2.54e+005  -1.7 6.82e+001    -  2.39e-002 1.21e-002f  1
+  57 3.1914476e+000 2.67e+000 2.53e+005  -1.7 6.84e+001    -  8.69e-004 2.81e-003h  1
+  58 3.2055746e+000 2.63e+000 2.44e+005  -1.7 6.96e+001    -  7.23e-003 1.96e-002f  1
+  59 3.2058102e+000 2.63e+000 2.44e+005  -1.7 8.39e+001    -  1.44e-003 2.15e-004h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  60 3.2174999e+000 2.58e+000 2.32e+005  -1.7 6.77e+001    -  5.37e-004 2.05e-002f  1
+  61 3.2177165e+000 2.58e+000 2.33e+005  -1.7 7.99e+001    -  1.92e-003 2.46e-004h  1
+  62 3.2318343e+000 2.54e+000 2.36e+005  -1.7 7.45e+001    -  4.31e-002 1.91e-002f  1
+  63 3.2320440e+000 2.54e+000 2.37e+005  -1.7 9.03e+001    -  2.93e-003 2.01e-004h  1
+  64 3.2606037e+000 2.46e+000 2.13e+005  -1.7 7.38e+001    -  1.53e-004 4.35e-002f  1
+  65 3.2611656e+000 2.46e+000 2.16e+005  -1.7 1.13e+002    -  1.09e-002 4.56e-004h  1
+  66 3.2892835e+000 2.39e+000 1.92e+005  -1.7 8.25e+001    -  9.69e-005 4.37e-002f  1
+  67 3.2898347e+000 2.38e+000 1.93e+005  -1.7 1.22e+002    -  3.86e-003 5.56e-004h  1
+  68 3.3218210e+000 2.32e+000 1.75e+005  -1.7 1.10e+002    -  6.16e-003 3.84e-002f  1
+  69 3.3922188e+000 2.04e+000 6.58e+004  -1.7 7.35e+001    -  4.35e-004 4.10e-001h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  70 3.4493028e+000 2.03e+000 6.62e+004  -1.7 6.28e+002    -  3.15e-004 2.43e-003f  1
+  71 3.4499691e+000 2.03e+000 6.52e+004  -1.7 6.07e+002    -  4.27e-003 2.53e-005h  1
+  72 4.0787075e+000 1.50e+000 8.45e+004  -1.7 1.33e+002    -  2.05e-001 3.93e-001H  1
+  73 4.2275282e+000 1.40e+000 6.95e+004  -1.7 5.28e+000  -1.2 4.86e-001 6.24e-002h  1
+  74 4.3150405e+000 1.35e+000 5.45e+004  -1.7 1.62e+002    -  1.10e-003 3.82e-002h  1
+  75 4.6039256e+000 1.20e+000 3.54e+005  -1.7 2.98e+001  -1.7 1.00e+000 1.13e-001h  1
+  76 5.1023120e+000 9.80e-001 2.41e+005  -1.7 4.42e+001    -  1.24e-002 1.78e-001h  1
+  77 5.1959724e+000 9.48e-001 4.30e+005  -1.7 4.30e+000  -1.3 6.01e-001 3.24e-002h  1
+  78 1.0205454e+001 2.11e-001 2.63e+005  -1.7 2.83e+001    -  8.94e-002 9.89e-001H  1
+  79 1.0641258e+001 1.43e-002 6.48e+005  -1.7 6.71e+000  -1.7 3.07e-001 9.10e-001h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  80 9.9053759e+000 1.41e-002 6.94e+005  -1.7 6.90e+000  -2.2 7.04e-002 1.00e+000f  1
+  81 9.0481510e+000 3.86e-002 2.57e+005  -1.7 2.28e+001  -2.7 6.32e-001 1.00e+000f  1
+  82 6.8695692e+000 8.43e-002 1.62e+005  -1.7 1.20e+001  -2.3 3.70e-001 1.00e+000f  1
+  83 4.9135344e+000 1.26e-001 4.96e+004  -1.7 2.61e+000  -1.8 6.93e-001 1.00e+000f  1
+  84 3.3176443e+000 2.91e-001 1.59e+004  -1.7 5.18e+000  -2.3 6.79e-001 1.00e+000f  1
+  85 7.0764337e-001 1.99e+002 1.47e+004  -1.7 3.21e+002  -2.8 7.98e-002 1.00e+000f  1
+  86 1.6164858e+000 5.02e+001 2.50e+001  -1.7 1.49e+002    -  1.00e+000 1.00e+000h  1
+  87 2.3671166e+000 1.31e+001 6.69e+000  -1.7 7.72e+001    -  1.00e+000 1.00e+000h  1
+  88 2.6628977e+000 8.11e+000 1.11e+001  -1.7 5.83e+001    -  8.81e-002 4.02e-001h  1
+  89 3.1543854e+000 2.97e+001 1.28e+001  -1.7 4.63e+001    -  5.33e-002 8.42e-001h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  90 2.4677809e+000 7.78e+000 7.95e+000  -1.7 5.16e+001    -  2.10e-002 8.17e-001h  1
+  91 1.1019642e+000 2.28e+001 9.86e+000  -1.7 3.84e+001    -  2.40e-001 1.00e+000f  1
+  92 5.0737316e-001 2.22e+001 2.91e+001  -1.7 3.95e+001    -  1.00e+000 4.43e-001h  1
+  93 4.0587600e-001 1.82e+001 2.31e+001  -1.7 2.21e+001    -  1.00e+000 1.82e-001h  1
+  94 2.4201589e-001 3.80e+000 7.77e+000  -1.7 1.82e+001    -  1.00e+000 1.00e+000h  1
+  95 8.6749139e-001 7.43e-001 5.29e+000  -1.7 3.69e+000    -  4.13e-001 1.00e+000h  1
+  96 2.0694723e-001 1.22e-001 9.01e+000  -1.7 1.03e+000    -  1.41e-001 1.00e+000h  1
+  97 1.2151856e-002 1.33e-001 6.41e+005  -2.5 7.32e-001    -  6.27e-001 1.00e+000h  1
+  98 1.0517863e-002 2.10e-003 9.55e-004  -2.5 1.17e-001    -  1.00e+000 1.00e+000h  1
+  99 4.3023769e-004 1.31e-002 8.05e+003  -3.8 3.96e-001    -  9.70e-001 1.00e+000h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+ 100 2.9477653e-005 7.36e-004 1.33e-003  -3.8 1.07e-001    -  1.00e+000 1.00e+000h  1
+ 101 1.2003375e-006 6.52e-005 7.43e-005  -5.7 3.02e-002    -  1.00e+000 1.00e+000h  1
+ 102 1.1912249e-006 1.26e-008 2.88e-008  -5.7 4.56e-004    -  1.00e+000 1.00e+000h  1
+ 103 1.1862889e-006 1.14e-008 1.25e-008  -8.6 3.94e-004    -  1.00e+000 1.00e+000h  1
+ 104 1.1862894e-006 1.22e-014 1.59e-014  -9.0 4.16e-007    -  1.00e+000 1.00e+000h  1
+
+Number of Iterations....: 104
+
+                                   (scaled)                 (unscaled)
+Objective...............:  1.1862894024317902e-006   1.1862894024317902e-006
+Dual infeasibility......:  1.5938798298139044e-014   1.5938798298139044e-014
+Constraint violation....:  1.2212453270876722e-014   1.2212453270876722e-014
+Complementarity.........:  9.0909169535204519e-010   9.0909169535204519e-010
+Overall NLP error.......:  9.0909169535204519e-010   9.0909169535204519e-010
+
+
+Number of objective function evaluations             = 142
+Number of objective gradient evaluations             = 105
+Number of equality constraint evaluations            = 142
+Number of inequality constraint evaluations          = 0
+Number of equality constraint Jacobian evaluations   = 105
+Number of inequality constraint Jacobian evaluations = 0
+Number of Lagrangian Hessian evaluations             = 104
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.396
+Total CPU secs in NLP function evaluations           =      0.006
+
+EXIT: Optimal Solution Found.
+k1= 5.00350934848808
+k2= 0.9999977260457735
+
    +
    +../../_images/43136a55cddd43d4d8b38845bb96b709cef38591ebf55538b5f01a865af0afe0.png +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Dynamic Exercises/small_colloc.html b/_build/html/Material/Dynamic Exercises/small_colloc.html new file mode 100644 index 00000000..1a22db93 --- /dev/null +++ b/_build/html/Material/Dynamic Exercises/small_colloc.html @@ -0,0 +1,722 @@ + + + + + + + + + + + Small collocation example — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
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    + + +
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    + + + +
    + + + +
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    + +
    + +
    +
    + + + +
    +

    Small collocation example

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Small collocation example#

    +
    +
    +
    import pyomo.environ as pyo
+
+numcollocation = 4
+numfinelems = 2
+
+model = m = pyo.ConcreteModel()
+m.colloc = pyo.RangeSet(0,numcollocation-1)
+m.fe = pyo.RangeSet(0,numfinelems-1)
+m.h = pyo.Param(initialize=1.0/numfinelems)
+
+m.z = pyo.Var(m.fe,m.colloc)
+m.dzdt = pyo.Var(m.fe,m.colloc)
+m.time = pyo.Var(m.fe,m.colloc)
+
+# Collocation matrix for Radau points [0, 0.155051, 0.644949, 1]
+adot=[
+[-9.000001008080126, -4.1393887736243791, 1.7393879671602779, -3.0000002520200333],
+[10.048810106494384, 3.2247461916839306, -3.5678400771209411, 5.5319724150606273],
+[-1.3821424037453669, 1.1678398419022438, 0.77525464838285485, -7.5319723310539404],
+[0.33333330533110994, -0.25319725996179565, 1.0531974615778044, 5.000000168013341],
+]
+
+m.obj = pyo.Objective(expr=1) # Dummy Objective
+
+def _zdot(m, i, j):
+    return m.dzdt[i,j] == m.z[i,j]**2 - 2*m.z[i,j] +1
+m.zdot = pyo.Constraint(m.fe,m.colloc,rule=_zdot)
+
+# Collocation Equations
+def _colloc_eq(m,i,j):
+    if j == 0:
+        return pyo.Constraint.Skip
+    return m.h*(m.dzdt[i,j]) == sum(m.z[i,k]*adot[k][j] for k in range(0,numcollocation))
+m.colloc_eq = pyo.Constraint(m.fe,m.colloc,rule=_colloc_eq)
+
+def _colloc_eq_t(m,i,j):
+    if j == 0:
+        return pyo.Constraint.Skip
+    return m.h == sum(m.time[i,k]*adot[k][j] for k in range(0,numcollocation))
+m.colloc_eq_t = pyo.Constraint(m.fe,m.colloc,rule=_colloc_eq_t)
+
+
+# Continuity Equations
+def _cont_z(m,i):
+    if i == 0:
+        return pyo.Constraint.Skip
+    return m.z[i,0] == m.z[i-1,numcollocation-1]
+m.cont_z = pyo.Constraint(m.fe,rule=_cont_z)
+
+def _cont_t(m,i):
+    if i == 0:
+        return pyo.Constraint.Skip
+    return m.time[i,0] == m.time[i-1,numcollocation-1]
+m.cont_t = pyo.Constraint(m.fe,rule=_cont_t)
+
+# Initial Conditions
+def _init_con(m):
+    return m.z[0,0] == -3
+m.init_con = pyo.Constraint(rule=_init_con)
+
+def _init_con_t(m):
+    return m.time[0,0] == 0
+m.init_con_t = pyo.Constraint(rule=_init_con_t)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(m,tee=True)
+
+import matplotlib.pyplot as plt
+
+analytical_t = [0.01*i for i in range(0,101)]
+analytical_z = [(4*t-3)/(4*t+1) for t in analytical_t]
+
+findiff_t = []
+findiff_z = []
+
+for i in range(0,numfinelems):
+    for j in range(0,numcollocation):
+        if i != 0 and j == 0:
+            continue
+        findiff_t.append(pyo.value(m.time[i,j]))
+        findiff_z.append(pyo.value(m.z[i,j]))
+
+plt.plot(analytical_t,analytical_z,'b',label='analytical solution')
+plt.plot(findiff_t,findiff_z,'ro--',label='collocation solution')
+plt.legend(loc='best')
+plt.xlabel("t")
+plt.show()
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 67
+     65 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     66 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 67 solver.solve(m,tee=True)
+     69 import matplotlib.pyplot as plt
+     71 analytical_t = [0.01*i for i in range(0,101)]
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Dynamic Exercises/small_dae.html b/_build/html/Material/Dynamic Exercises/small_dae.html new file mode 100644 index 00000000..b29422ef --- /dev/null +++ b/_build/html/Material/Dynamic Exercises/small_dae.html @@ -0,0 +1,680 @@ + + + + + + + + + + + Small Dae Example — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
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    + + + + + +
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    + +
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    + + + + +
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    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    Small Dae Example

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Small Dae Example#

    +
    +
    +
    import pyomo.environ as pyo
+from pyomo.dae import DerivativeVar, ContinuousSet
+
+model = m = pyo.ConcreteModel()
+
+m.t = ContinuousSet(bounds=(0,1))
+
+m.z = pyo.Var(m.t)
+m.dzdt = DerivativeVar(m.z)
+
+m.obj = pyo.Objective(expr=1) # Dummy Objective
+
+def _zdot(m, i):
+    return m.dzdt[i] == m.z[i]**2 - 2*m.z[i] +1
+m.zdot = pyo.Constraint(m.t,rule=_zdot)
+
+def _init_con(m):
+    return m.z[0] == -3
+m.init_con = pyo.Constraint(rule=_init_con)
+
+# Discretize using backward finite difference
+#discretizer = pyo.TransformationFactory('dae.finite_difference')
+#discretizer.apply_to(m, nfe=50, scheme='BACKWARD')
+
+# Discretize using collocation
+discretizer = pyo.TransformationFactory('dae.collocation')
+discretizer.apply_to(m, nfe=2, ncp=3 , scheme='LAGRANGE-RADAU')
+
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(m,tee=True)
+
+import matplotlib.pyplot as plt
+
+analytical_t = [0.01*i for i in range(0,101)]
+analytical_z = [(4*t-3)/(4*t+1) for t in analytical_t]
+
+findiff_t = list(m.t)
+findiff_z = [pyo.value(m.z[i]) for i in m.t]
+
+plt.plot(analytical_t,analytical_z,'b',label='analytical solution')
+plt.plot(findiff_t,findiff_z,'ro--',label='pyomo.dae discretization solution')
+plt.legend(loc='best')
+plt.xlabel('t')
+plt.show()
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 32
+     30 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     31 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 32 solver.solve(m,tee=True)
+     34 import matplotlib.pyplot as plt
+     36 analytical_t = [0.01*i for i in range(0,101)]
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Dynamic Exercises/small_findiff.html b/_build/html/Material/Dynamic Exercises/small_findiff.html new file mode 100644 index 00000000..a5991a07 --- /dev/null +++ b/_build/html/Material/Dynamic Exercises/small_findiff.html @@ -0,0 +1,677 @@ + + + + + + + + + + + Small Find Diff example — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
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    + + +
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    + + + + +
    + +
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    + +
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    + + +
    + + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    Small Find Diff example

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Small Find Diff example#

    +
    +
    +
    import pyomo.environ as pyo
+
+numpoints = 5
+model = m = pyo.ConcreteModel()
+m.points = pyo.RangeSet(0,numpoints-1)
+m.h = pyo.Param(initialize=1.0/(numpoints-1))
+
+m.z = pyo.Var(m.points)
+m.dzdt = pyo.Var(m.points)
+
+m.obj = pyo.Objective(expr=1) # Dummy Objective
+
+def _zdot(m, i):
+    return m.dzdt[i] == m.z[i]**2 - 2*m.z[i] +1
+m.zdot = pyo.Constraint(m.points,rule=_zdot)
+
+def _back_diff(m,i):
+    if i == 0:
+        return pyo.Constraint.Skip
+    return m.dzdt[i] == (m.z[i]-m.z[i-1])/m.h
+m.back_diff = pyo.Constraint(m.points,rule=_back_diff)
+
+def _init_con(m):
+    return m.z[0] == -3
+m.init_con = pyo.Constraint(rule=_init_con)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(m,tee=True)
+
+import matplotlib.pyplot as plt
+
+analytical_t = [0.01*i for i in range(0,101)]
+analytical_z = [(4*t-3)/(4*t+1) for t in analytical_t]
+
+findiff_t = [m.h*i for i in m.points]
+findiff_z = [pyo.value(m.z[i]) for i in m.points]
+
+plt.plot(analytical_t,analytical_z,'b',label='analytical solution')
+plt.plot(findiff_t,findiff_z,'ro--',label='finite difference solution')
+plt.legend(loc='best')
+plt.xlabel('t')
+plt.show()
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 29
+     27 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     28 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 29 solver.solve(m,tee=True)
+     31 import matplotlib.pyplot as plt
+     33 analytical_t = [0.01*i for i in range(0,101)]
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/GDP Exercises.html b/_build/html/Material/GDP Exercises.html new file mode 100644 index 00000000..4663b022 --- /dev/null +++ b/_build/html/Material/GDP Exercises.html @@ -0,0 +1,534 @@ + + + + + + + + + + + GDP Exercises — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
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    +
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    +
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    + + + + +
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    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    GDP Exercises

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    GDP Exercises#

    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/GDP Exercises/strip_packing.html b/_build/html/Material/GDP Exercises/strip_packing.html new file mode 100644 index 00000000..b99d85af --- /dev/null +++ b/_build/html/Material/GDP Exercises/strip_packing.html @@ -0,0 +1,682 @@ + + + + + + + + + + + Strip Packing — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
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    + + +
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    + + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    Strip Packing

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Strip Packing#

    +

    This model packs a set of rectangles without rotation or overlap within a strip of a given width, while minimizing the length of the strip.

    +

    This is a Strip-packing example from http://minlp.org/library/lib.php?lib=GDP

    +
    +
    +
    import pyomo.environ as pyo
+from pyomo.gdp import Disjunct, Disjunction
+
+model = pyo.ConcreteModel()
+
+model.RECTANGLES = pyo.Set(ordered=True, initialize=[0,1,2,3])
+
+# Width and Lenght of each rectangle
+model.Width = pyo.Param(model.RECTANGLES, initialize={0:6, 1:3, 2:4, 3:2})
+model.Length = pyo.Param(model.RECTANGLES, initialize={0:6, 1:8, 2:5, 3:3})
+
+model.StripWidth = pyo.Param(initialize=10, doc="Width of the strip" )
+
+# upperbound on length (default is sum of lengths of rectangles)
+model.LengthUB = pyo.Param(initialize=sum(model.Length[i] for i in
+                                          model.RECTANGLES))
+
+# x (length) and y (width) coordinates of each of the rectangles
+model.x = pyo.Var(model.RECTANGLES, bounds=(0, model.LengthUB),
+                  doc="rectangle corner x-position (position down length)")
+def y_bounds(m, i):
+    return (0, m.StripWidth-m.Width[i])
+model.y = pyo.Var(model.RECTANGLES,
+              bounds=y_bounds,
+              doc="rectangle corner y-position (position across width)")
+
+# length of strip (this will be the objective)
+model.MaxLength = pyo.Var(within=pyo.NonNegativeReals)
+
+# generate the list of possible rectangle conflicts (which are any pair)
+def rec_pairs_filter(model, i, j):
+    return i < j
+model.OVERLAP_PAIRS = pyo.Set(initialize=model.RECTANGLES * model.RECTANGLES,
+    dimen=2, filter=rec_pairs_filter)
+
+# strip length constraint
+@model.Constraint(model.RECTANGLES)
+def strip_ends_after_last_rec(model, i):
+    return model.MaxLength >= model.x[i] + model.Length[i]
+
+# minimize length
+model.total_length = pyo.Objective(expr=model.MaxLength)
+
+#
+# Insert the no-overlap disjunctions here!
+#
+@model.Disjunction(model.OVERLAP_PAIRS)
+def noOverlap(m,i,j):
+    return [
+        m.x[i] + m.Length[i] <= m.x[j],
+        m.x[j] + m.Length[j] <= m.x[i],
+        m.y[i] + m.Width[i] <= m.y[j],
+        m.y[j] + m.Width[j] <= m.y[i],
+    ]
+#
+# Transform the model using the BigM relaxation
+#
+pyo.TransformationFactory('gdp.bigm').apply_to(model)
+
+#
+# Solve and print the solution
+#
+pyo.SolverFactory('glpk').solve(model, tee=True)
+model.pprint()
+for i in model.RECTANGLES:
+    print("Rectangle %s: (%s, %s)" % (i, pyo.value(model.x[i]), pyo.value(model.y[i])))
+model.total_length.display()
+
    +
    +
    +
    +
    WARNING: DEPRECATED: OrderedScalarSet OVERLAP_PAIRS: 'filter=' callback
+signature matched (block, *value).  Please update the callback to match the
+signature (block, value).  (deprecated in 6.8.0) (called from
+/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-
+packages/pyomo/core/base/disable_methods.py:124)
+
    +
    +
    WARNING: Could not locate the 'glpsol' executable, which is required for
+solver 'glpk'
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 63
+     58 pyo.TransformationFactory('gdp.bigm').apply_to(model)
+     60 #
+     61 # Solve and print the solution
+     62 #
+---> 63 pyo.SolverFactory('glpk').solve(model, tee=True)
+     64 model.pprint()
+     65 for i in model.RECTANGLES:
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'glpk'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Nonlinear Exercises.html b/_build/html/Material/Nonlinear Exercises.html new file mode 100644 index 00000000..abc6a96c --- /dev/null +++ b/_build/html/Material/Nonlinear Exercises.html @@ -0,0 +1,536 @@ + + + + + + + + + + + Nonlinear Exercises — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
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    + + + + + +
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    + +
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    + + +
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    + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    Nonlinear Exercises

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Nonlinear Exercises#

    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Nonlinear Exercises/1.1 Alternative Initialization.html b/_build/html/Material/Nonlinear Exercises/1.1 Alternative Initialization.html new file mode 100644 index 00000000..8c2911e6 --- /dev/null +++ b/_build/html/Material/Nonlinear Exercises/1.1 Alternative Initialization.html @@ -0,0 +1,664 @@ + + + + + + + + + + + 1.1 Alternative Initialization: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
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    + + + + + +
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    + + +
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    + + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    1.1 Alternative Initialization:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    1.1 Alternative Initialization:#

    +

    Effective initialization can be critical for solving nonlinear problems, since they can have several local solutions +and numerical difficulties. Below we solve the Rosenbrock example using different initial values for the x variables. We write a loop that varies the initial value from 2.0 to 6.0, solves the problem, and prints the solution for each iteration of the loop.

    +
    +
    +
    # rosenbrock_script_loop.py: A Pyomo model for the Rosenbrock problem
+import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var()
+model.y = pyo.Var()
+
+def rosenbrock(m):
+    return (1.0-m.x)**2 + 100.0*(m.y - m.x**2)**2
+model.obj = pyo.Objective(rule=rosenbrock, sense=pyo.minimize)
+
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+
+print('x_init, y_init, x_soln, y_soln')
+y_init = 5.0
+for x_init in range(2, 6):
+    model.x = x_init
+    model.y = 5.0
+
+    solver.solve(model)
+
+    print("{0:6.2f}  {1:6.2f}  {2:6.2f}  {3:6.2f}".format(x_init, \
+            y_init, pyo.value(model.x), pyo.value(model.y)))
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    x_init, y_init, x_soln, y_soln
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 22
+     19 model.x = x_init
+     20 model.y = 5.0
+---> 22 solver.solve(model)
+     24 print("{0:6.2f}  {1:6.2f}  {2:6.2f}  {3:6.2f}".format(x_init, \
+     25         y_init, pyo.value(model.x), pyo.value(model.y)))
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Nonlinear Exercises/1.2 Evaluation errors.html b/_build/html/Material/Nonlinear Exercises/1.2 Evaluation errors.html new file mode 100644 index 00000000..cf4e428c --- /dev/null +++ b/_build/html/Material/Nonlinear Exercises/1.2 Evaluation errors.html @@ -0,0 +1,873 @@ + + + + + + + + + + + 1.2 Evaluation errors: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
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    +
    + + +
    +
    + + + + +
    + +
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    + +
    + + +
    + +
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    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
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    + + + +
    +

    1.2 Evaluation errors:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    1.2 Evaluation errors:#

    +

    Consider the following problem with initial values \(x=5, y=5\).

    +
    +\[\begin{split}\begin{aligned} +min_{x,y} f(x,y) &= (x - 1.01)^{2} + y^{2}\\ +s.t. \;\;\; y &= \sqrt{x - 1.0} +\end{aligned}\end{split}\]
    +

    (a) Below we formulate this Pyomo model and solve using Ipopt. We then get a list of +errors from the solver. What did you discover? How might you fix this? (Hint: error output might be ordered strangely, look up in the console output.)

    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+
+model.x = pyo.Var(initialize=5.0)
+model.y = pyo.Var(initialize=5.0)
+
+def obj_rule(m):
+    return (m.x-1.01)**2 + m.y**2
+model.obj = pyo.Objective(rule=obj_rule)
+
+def con_rule(m):
+    return m.y == pyo.sqrt(m.x - 1.0)
+model.con = pyo.Constraint(rule=con_rule)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.options['halt_on_ampl_error'] = 'yes'
+solver.solve(model, tee=True)
+
+print(pyo.value(model.x))
+print(pyo.value(model.y))
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 19
+     17 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+     18 solver.options['halt_on_ampl_error'] = 'yes'
+---> 19 solver.solve(model, tee=True)
+     21 print(pyo.value(model.x))
+     22 print(pyo.value(model.y))
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {'halt_on_ampl_error': 'yes'}
+
    +
    +
    +
    +

    (b) Add bounds \(x\geq 1\) to fix this problem. Resolve the problem. Comment on the number of iterations and the quality of solution. +(Note: The problem still occurs because \(x \geq 1\) is not enforced exactly, and small numerical values still cause the error.)

    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+
+model.x = pyo.Var(initialize=5.0, bounds=(1,None))
+model.y = pyo.Var(initialize=5.0)
+
+def obj_rule(m):
+    return (m.x-1.01)**2 + m.y**2
+model.obj = pyo.Objective(rule=obj_rule)
+
+def con_rule(m):
+    return m.y == pyo.sqrt(m.x - 1.0)
+model.con = pyo.Constraint(rule=con_rule)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.options['halt_on_ampl_error'] = 'yes'
+solver.solve(model, tee=True)
+
+print(pyo.value(model.x))
+print(pyo.value(model.y))
+
    +
    +
    +
    +
    Ipopt 3.9.1: halt_on_ampl_error=yes
+
+
+******************************************************************************
+This program contains Ipopt, a library for large-scale nonlinear optimization.
+ Ipopt is released as open source code under the Common Public License (CPL).
+         For more information visit http://projects.coin-or.org/Ipopt
+******************************************************************************
+
+NOTE: You are using Ipopt by default with the MUMPS linear solver.
+      Other linear solvers might be more efficient (see Ipopt documentation).
+
+
+This is Ipopt version 3.9.1, running with linear solver mumps.
+
+Number of nonzeros in equality constraint Jacobian...:        2
+Number of nonzeros in inequality constraint Jacobian.:        0
+Number of nonzeros in Lagrangian Hessian.............:        2
+
+Total number of variables............................:        2
+                     variables with only lower bounds:        1
+                variables with lower and upper bounds:        0
+                     variables with only upper bounds:        0
+Total number of equality constraints.................:        1
+Total number of inequality constraints...............:        0
+        inequality constraints with only lower bounds:        0
+   inequality constraints with lower and upper bounds:        0
+        inequality constraints with only upper bounds:        0
+
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+   0 4.0920100e+001 3.00e+000 8.92e+000  -1.0 0.00e+000    -  0.00e+000 0.00e+000   0
+   1 1.3964766e+000 9.81e-001 4.57e+000  -1.0 4.20e+000    -  1.00e+000 9.43e-001f  1
+   2 1.3265288e+000 4.58e-001 9.56e+000  -1.0 3.54e-001   2.0 1.31e-001 1.00e+000f  1
+   3 3.2528786e-001 1.23e-002 1.25e+000  -1.0 5.70e-001    -  1.00e+000 1.00e+000f  1
+   4 4.9701812e-003 7.82e-002 1.36e-001  -1.0 3.78e-001    -  1.00e+000 1.00e+000F  1
+   5 6.0628408e-003 4.53e-002 1.66e+000  -2.5 2.08e-002    -  1.00e+000 1.00e+000h  1
+   6 6.7063949e-003 4.53e-002 2.24e+000  -2.5 1.05e+000    -  1.53e-002 3.91e-003h  9
+   7 7.6973110e-003 1.67e-002 5.10e-001  -2.5 6.16e-003   1.5 1.00e+000 1.00e+000h  1
+   8 3.5855462e-003 1.09e-003 2.51e-001  -2.5 2.81e-002    -  1.00e+000 1.00e+000h  1
+   9 3.0456986e-003 1.24e-004 1.10e-003  -2.5 4.78e-003    -  1.00e+000 1.00e+000h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  10 9.2960387e-004 1.58e-002 1.21e+000  -3.8 2.59e-002    -  1.00e+000 1.00e+000h  1
+  11 2.2722219e-004 1.18e-004 1.42e-001  -3.8 1.75e-002    -  1.00e+000 1.00e+000h  1
+  12 2.4804811e-004 4.21e-005 4.38e-003  -3.8 8.99e-004    -  1.00e+000 1.00e+000h  1
+  13 2.5041988e-004 8.02e-007 1.04e-004  -3.8 9.89e-005    -  1.00e+000 1.00e+000h  1
+  14 1.3928326e-004 4.89e-003 3.54e+000  -5.7 6.12e-003    -  1.00e+000 1.00e+000h  1
+  15 1.6721345e-004 3.66e-003 4.16e+000  -5.7 1.95e-003   1.0 1.01e-001 1.00e+000h  1
+  16 1.7756299e-004 1.12e-003 2.28e+000  -5.7 6.51e-004   1.5 1.00e+000 1.00e+000h  1
+  17 1.5169810e-004 1.68e-005 1.58e-001  -5.7 1.61e-003   1.0 1.00e+000 1.00e+000h  1
+Error evaluating constraint 1: can't evaluate sqrt(-9.90312e-09).
+ERROR: Solver (ipopt) returned non-zero return code (1)
+ERROR: See the solver log above for diagnostic information.
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 18
+     16 solver = pyo.SolverFactory('ipopt')
+     17 solver.options['halt_on_ampl_error'] = 'yes'
+---> 18 solver.solve(model, tee=True)
+     20 print(pyo.value(model.x))
+     21 print(pyo.value(model.y))
+
+File c:\Users\bmurr\CHE 498\.venv\Lib\site-packages\pyomo\opt\base\solvers.py:628, in OptSolver.solve(self, *args, **kwds)
+    626     elif hasattr(_status, 'log') and _status.log:
+    627         logger.error("Solver log:\n" + str(_status.log))
+--> 628     raise ApplicationError("Solver (%s) did not exit normally" % self.name)
+    629 solve_completion_time = time.time()
+    630 if self._report_timing:
+
+ApplicationError: Solver (ipopt) did not exit normally
+
    +
    +
    +
    +

    (c) Think about other solutions for this problem. (e.g., \(x \geq 1.001\)).

    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+
+model.x = pyo.Var(initialize=5.0, bounds=(1.001,None))
+model.y = pyo.Var(initialize=5.0)
+
+def obj_rule(m):
+    return (m.x-1.01)**2 + m.y**2
+model.obj = pyo.Objective(rule=obj_rule)
+
+def con_rule(m):
+    return m.y == pyo.sqrt(m.x - 1.0)
+model.con = pyo.Constraint(rule=con_rule)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.options['halt_on_ampl_error'] = 'yes'
+solver.solve(model, tee=True)
+
+print(pyo.value(model.x))
+print(pyo.value(model.y))
+
    +
    +
    +
    +
    Ipopt 3.9.1: halt_on_ampl_error=yes
+
+
+******************************************************************************
+This program contains Ipopt, a library for large-scale nonlinear optimization.
+ Ipopt is released as open source code under the Common Public License (CPL).
+         For more information visit http://projects.coin-or.org/Ipopt
+******************************************************************************
+
+NOTE: You are using Ipopt by default with the MUMPS linear solver.
+      Other linear solvers might be more efficient (see Ipopt documentation).
+
+
+This is Ipopt version 3.9.1, running with linear solver mumps.
+
+Number of nonzeros in equality constraint Jacobian...:        2
+Number of nonzeros in inequality constraint Jacobian.:        0
+Number of nonzeros in Lagrangian Hessian.............:        2
+
+Total number of variables............................:        2
+                     variables with only lower bounds:        1
+                variables with lower and upper bounds:        0
+                     variables with only upper bounds:        0
+Total number of equality constraints.................:        1
+Total number of inequality constraints...............:        0
+        inequality constraints with only lower bounds:        0
+   inequality constraints with lower and upper bounds:        0
+        inequality constraints with only upper bounds:        0
+
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+   0 4.0920100e+001 3.00e+000 8.92e+000  -1.0 0.00e+000    -  0.00e+000 0.00e+000   0
+   1 1.3985928e+000 9.80e-001 4.51e+000  -1.0 4.20e+000    -  1.00e+000 9.43e-001f  1
+   2 1.3200328e+000 4.52e-001 1.00e+001  -1.0 3.56e-001   2.0 1.31e-001 1.00e+000f  1
+   3 3.3527706e-001 1.13e-002 1.27e+000  -1.0 5.60e-001    -  1.00e+000 1.00e+000f  1
+   4 4.9066403e-003 4.74e-002 2.52e-002  -1.0 3.83e-001    -  1.00e+000 1.00e+000F  1
+   5 4.4928608e-003 2.36e-002 7.26e-001  -2.5 1.19e-002    -  1.00e+000 1.00e+000h  1
+   6 5.9528153e-003 7.95e-003 5.53e-001  -2.5 1.04e-002    -  1.00e+000 1.00e+000h  1
+   7 3.2290130e-003 1.43e-003 4.99e-003  -2.5 2.06e-002    -  1.00e+000 1.00e+000h  1
+   8 1.5403307e-003 3.85e-003 1.04e-001  -3.8 1.82e-002    -  1.00e+000 1.00e+000h  1
+   9 1.2315611e-003 2.80e-006 1.34e-003  -3.8 4.28e-003    -  1.00e+000 1.00e+000h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  10 1.0880355e-003 7.80e-005 2.46e-003  -5.7 2.23e-003    -  1.00e+000 1.00e+000h  1
+  11 1.0828351e-003 2.74e-010 3.15e-007  -5.7 8.21e-005    -  1.00e+000 1.00e+000h  1
+  12 1.0809936e-003 1.39e-008 4.39e-007  -8.6 2.96e-005    -  1.00e+000 1.00e+000h  1
+  13 1.0809927e-003 1.34e-015 6.88e-014  -8.6 1.40e-008    -  1.00e+000 1.00e+000h  1
+
+Number of Iterations....: 13
+
+                                   (scaled)                 (unscaled)
+Objective...............:  1.0809926760836025e-003   1.0809926760836025e-003
+Dual infeasibility......:  6.8833827526759706e-014   6.8833827526759706e-014
+Constraint violation....:  1.3392065234540951e-015   1.3392065234540951e-015
+Complementarity.........:  2.5059036424968433e-009   2.5059036424968433e-009
+Overall NLP error.......:  2.5059036424968433e-009   2.5059036424968433e-009
+
+
+Number of objective function evaluations             = 15
+Number of objective gradient evaluations             = 14
+Number of equality constraint evaluations            = 15
+Number of inequality constraint evaluations          = 0
+Number of equality constraint Jacobian evaluations   = 14
+Number of inequality constraint Jacobian evaluations = 0
+Number of Lagrangian Hessian evaluations             = 13
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.005
+Total CPU secs in NLP function evaluations           =      0.000
+
+EXIT: Optimal Solution Found.
+1.001
+0.0316226586775465
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Nonlinear Exercises/1.3 Alternative Formulations.html b/_build/html/Material/Nonlinear Exercises/1.3 Alternative Formulations.html new file mode 100644 index 00000000..22479fe5 --- /dev/null +++ b/_build/html/Material/Nonlinear Exercises/1.3 Alternative Formulations.html @@ -0,0 +1,989 @@ + + + + + + + + + + + 1.3 Alternative Formulations: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
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    + + + Ctrl+K +
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    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
    +
    +
    + + +
    +
    + + + + +
    + +
    + + + +
    + +
    +
    + +
    +
    + +
    + +
    + +
    + + +
    + +
    + +
    + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    1.3 Alternative Formulations:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    1.3 Alternative Formulations:#

    +

    Consider the following problem with ini- +tial values x=5, y=5.

    +
    +\[min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}\]
    +
    +\[s.t \;\;\;\; \frac{x-1}{y} = 1\]
    +

    Note that the solution to this problem is \(x=1.005\) and \(y=0.005\). There +are several ways that the problem above can be reformulated. Some examples are shown below. Which ones do you expect to be better? Why? Note the number of iterations and quality of solutions. What can you learn +about problem formulation from these examples?

    +

    (a)

    +
    +\[min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}\]
    +
    +\[s.t \;\;\;\; \frac{x-1}{y} = 1\]
    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+
+model.x = pyo.Var(initialize=5.0)
+model.y = pyo.Var(initialize=5.0)
+
+def obj_rule(m):
+    return (m.x-1.01)**2 + m.y**2
+model.obj = pyo.Objective(rule=obj_rule)
+
+def con_rule(m):
+    return (m.x - 1.0) / m.y == 1.0
+model.con = pyo.Constraint(rule=con_rule)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(model, tee=True)
+
+print(pyo.value(model.x))
+print(pyo.value(model.y))
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 18
+     16 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     17 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 18 solver.solve(model, tee=True)
+     20 print(pyo.value(model.x))
+     21 print(pyo.value(model.y))
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +

    (b)

    +
    +\[min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}\]
    +
    +\[s.t \;\;\;\; \frac{x}{y + 1} = 1\]
    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+
+model.x = pyo.Var(initialize=5.0)
+model.y = pyo.Var(initialize=5.0)
+
+def obj_rule(m):
+    return (m.x-1.01)**2 + m.y**2
+model.obj = pyo.Objective(rule=obj_rule)
+
+def con_rule(m):
+    return m.x / (m.y + 1.0) == 1.0
+model.con = pyo.Constraint(rule=con_rule)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(model, tee=True)
+
+print(pyo.value(model.x))
+print(pyo.value(model.y))
+
    +
    +
    +
    +
    Ipopt 3.9.1: 
+
+******************************************************************************
+This program contains Ipopt, a library for large-scale nonlinear optimization.
+ Ipopt is released as open source code under the Common Public License (CPL).
+         For more information visit http://projects.coin-or.org/Ipopt
+******************************************************************************
+
+NOTE: You are using Ipopt by default with the MUMPS linear solver.
+      Other linear solvers might be more efficient (see Ipopt documentation).
+
+
+This is Ipopt version 3.9.1, running with linear solver mumps.
+
+Number of nonzeros in equality constraint Jacobian...:        2
+Number of nonzeros in inequality constraint Jacobian.:        0
+Number of nonzeros in Lagrangian Hessian.............:        3
+
+Total number of variables............................:        2
+                     variables with only lower bounds:        0
+                variables with lower and upper bounds:        0
+                     variables with only upper bounds:        0
+Total number of equality constraints.................:        1
+Total number of inequality constraints...............:        0
+        inequality constraints with only lower bounds:        0
+   inequality constraints with lower and upper bounds:        0
+        inequality constraints with only upper bounds:        0
+
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+   0 4.0920100e+001 1.67e-001 9.83e+000  -1.0 0.00e+000    -  0.00e+000 0.00e+000   0
+   1 4.0023722e-001 1.49e+000 2.82e+001  -1.0 5.39e+000    -  1.00e+000 1.00e+000f  1
+   2 1.0494629e+001 1.04e+000 2.24e+001  -1.0 2.58e+000    -  1.00e+000 1.00e+000h  1
+   3 5.4394796e+000 1.78e-001 8.48e+000  -1.0 1.23e+000    -  1.00e+000 1.00e+000f  1
+   4 1.0538196e-001 1.52e-001 3.90e+000  -1.0 1.75e+000    -  1.00e+000 1.00e+000f  1
+   5 4.6918851e-002 2.17e-002 1.20e+000  -1.0 1.63e-001    -  1.00e+000 1.00e+000h  1
+   6 1.3071752e-004 2.88e-003 1.19e-001  -1.0 1.62e-001    -  1.00e+000 1.00e+000h  1
+   7 4.9833353e-005 1.79e-005 1.02e-003  -2.5 6.25e-003    -  1.00e+000 1.00e+000h  1
+   8 5.0000013e-005 1.28e-009 6.30e-008  -5.7 9.00e-005    -  1.00e+000 1.00e+000h  1
+   9 5.0000000e-005 2.22e-016 4.77e-016  -8.6 4.58e-009    -  1.00e+000 1.00e+000h  1
+
+Number of Iterations....: 9
+
+                                   (scaled)                 (unscaled)
+Objective...............:  5.0000000000001568e-005   5.0000000000001568e-005
+Dual infeasibility......:  4.7704895589362195e-016   4.7704895589362195e-016
+Constraint violation....:  2.2204460492503131e-016   2.2204460492503131e-016
+Complementarity.........:  0.0000000000000000e+000   0.0000000000000000e+000
+Overall NLP error.......:  4.7704895589362195e-016   4.7704895589362195e-016
+
+
+Number of objective function evaluations             = 10
+Number of objective gradient evaluations             = 10
+Number of equality constraint evaluations            = 10
+Number of inequality constraint evaluations          = 0
+Number of equality constraint Jacobian evaluations   = 10
+Number of inequality constraint Jacobian evaluations = 0
+Number of Lagrangian Hessian evaluations             = 9
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.003
+Total CPU secs in NLP function evaluations           =      0.000
+
+EXIT: Optimal Solution Found.
+1.005
+0.005000000000000042
+
    +
    +
    +
    +

    (c)

    +
    +\[min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}\]
    +
    +\[s.t \;\;\;\; y = x - 1\]
    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+
+model.x = pyo.Var(initialize=5.0)
+model.y = pyo.Var(initialize=5.0)
+
+def obj_rule(m):
+    return (m.x-1.01)**2 + m.y**2
+model.obj = pyo.Objective(rule=obj_rule)
+
+def con_rule(m):
+    return m.y == m.x - 1.0
+model.con = pyo.Constraint(rule=con_rule)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(model, tee=True)
+
+print(pyo.value(model.x))
+print(pyo.value(model.y))
+
    +
    +
    +
    +
    Ipopt 3.9.1: 
+
+******************************************************************************
+This program contains Ipopt, a library for large-scale nonlinear optimization.
+ Ipopt is released as open source code under the Common Public License (CPL).
+         For more information visit http://projects.coin-or.org/Ipopt
+******************************************************************************
+
+NOTE: You are using Ipopt by default with the MUMPS linear solver.
+      Other linear solvers might be more efficient (see Ipopt documentation).
+
+
+This is Ipopt version 3.9.1, running with linear solver mumps.
+
+Number of nonzeros in equality constraint Jacobian...:        2
+Number of nonzeros in inequality constraint Jacobian.:        0
+Number of nonzeros in Lagrangian Hessian.............:        2
+
+Total number of variables............................:        2
+                     variables with only lower bounds:        0
+                variables with lower and upper bounds:        0
+                     variables with only upper bounds:        0
+Total number of equality constraints.................:        1
+Total number of inequality constraints...............:        0
+        inequality constraints with only lower bounds:        0
+   inequality constraints with lower and upper bounds:        0
+        inequality constraints with only upper bounds:        0
+
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+   0 4.0920100e+001 1.00e+000 8.99e+000  -1.0 0.00e+000    -  0.00e+000 0.00e+000   0
+   1 5.0000000e-005 0.00e+000 4.44e-016  -1.0 5.00e+000    -  1.00e+000 1.00e+000f  1
+
+Number of Iterations....: 1
+
+                                   (scaled)                 (unscaled)
+Objective...............:  5.0000000000000090e-005   5.0000000000000090e-005
+Dual infeasibility......:  4.4408920985006262e-016   4.4408920985006262e-016
+Constraint violation....:  0.0000000000000000e+000   0.0000000000000000e+000
+Complementarity.........:  0.0000000000000000e+000   0.0000000000000000e+000
+Overall NLP error.......:  4.4408920985006262e-016   4.4408920985006262e-016
+
+
+Number of objective function evaluations             = 2
+Number of objective gradient evaluations             = 2
+Number of equality constraint evaluations            = 2
+Number of inequality constraint evaluations          = 0
+Number of equality constraint Jacobian evaluations   = 2
+Number of inequality constraint Jacobian evaluations = 0
+Number of Lagrangian Hessian evaluations             = 1
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.001
+Total CPU secs in NLP function evaluations           =      0.000
+
+EXIT: Optimal Solution Found.
+1.005
+0.004999999999999893
+
    +
    +
    +
    +

    (d) Bounds and initialization can be very helpful when solving nonlinear optimization problems. Starting with the code below, resolve the original problem, but add bounds, \(y \geq 0\). Note the +number of iterations and quality of solution, and compare with what you found in 1.2 (a).

    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+
+model.x = pyo.Var(initialize=5.0)
+model.y = pyo.Var(initialize=5.0, bounds=(0,None))
+
+def obj_rule(m):
+    return (m.x-1.01)**2 + m.y**2
+model.obj = pyo.Objective(rule=obj_rule)
+
+def con_rule(m):
+    return (m.x - 1.0) / m.y == 1.0
+model.con = pyo.Constraint(rule=con_rule)
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+solver.solve(model, tee=True)
+
+print(pyo.value(model.x))
+print(pyo.value(model.y))
+
    +
    +
    +
    +
    Ipopt 3.9.1: 
+
+******************************************************************************
+This program contains Ipopt, a library for large-scale nonlinear optimization.
+ Ipopt is released as open source code under the Common Public License (CPL).
+         For more information visit http://projects.coin-or.org/Ipopt
+******************************************************************************
+
+NOTE: You are using Ipopt by default with the MUMPS linear solver.
+      Other linear solvers might be more efficient (see Ipopt documentation).
+
+
+This is Ipopt version 3.9.1, running with linear solver mumps.
+
+Number of nonzeros in equality constraint Jacobian...:        2
+Number of nonzeros in inequality constraint Jacobian.:        0
+Number of nonzeros in Lagrangian Hessian.............:        3
+
+Total number of variables............................:        2
+                     variables with only lower bounds:        1
+                variables with lower and upper bounds:        0
+                     variables with only upper bounds:        0
+Total number of equality constraints.................:        1
+Total number of inequality constraints...............:        0
+        inequality constraints with only lower bounds:        0
+   inequality constraints with lower and upper bounds:        0
+        inequality constraints with only upper bounds:        0
+
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+   0 4.0920100e+001 2.00e-001 9.38e+000  -1.0 0.00e+000    -  0.00e+000 0.00e+000   0
+   1 9.7049410e-001 1.89e+001 2.29e+003  -1.0 5.19e+000    -  1.00e+000 9.54e-001f  1
+   2 2.8303563e+003 1.85e+001 2.25e+003  -1.0 5.21e+001    -  1.88e-002 1.00e+000h  1
+   3 2.9704435e+003 9.12e+000 1.14e+003  -1.0 2.64e+000    -  1.00e+000 1.00e+000h  1
+   4 2.5293245e+003 4.09e+000 5.51e+002  -1.0 4.89e+000    -  8.94e-001 1.00e+000f  1
+   5 1.7547126e+003 1.52e+000 2.52e+002  -1.0 1.04e+001    -  1.00e+000 1.00e+000f  1
+   6 6.8047428e+002 1.49e-001 8.49e+001  -1.0 1.93e+001    -  1.00e+000 1.00e+000f  1
+   7 7.4721920e+000 8.01e-001 2.32e+002  -1.0 1.91e+001    -  1.00e+000 1.00e+000f  1
+   8 8.1969347e+003 7.77e-001 2.62e+002  -1.0 8.57e+001    -  3.37e-002 1.00e+000h  1
+   9 1.1605265e+004 2.36e-001 4.89e+002  -1.0 6.40e+001    -  1.00e+000 1.00e+000h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  10 5.5411085e+002 5.19e-001 5.83e+002  -1.0 7.36e+001    -  1.00e+000 1.00e+000f  1
+  11 1.7377623e+004 4.22e-001 5.65e+002  -1.0 9.29e+001    -  3.00e-001 1.00e+000h  1
+  12 1.1573362e+004 1.25e-001 1.63e+002  -1.0 6.64e+001    -  1.00e+000 5.00e-001f  2
+  13 3.3128549e+003 8.55e-003 9.20e+001  -1.0 8.52e+001    -  1.00e+000 4.70e-001f  2
+  14 7.1443870e-001 8.34e-001 1.80e+003  -1.0 4.11e+001    -  1.00e+000 9.85e-001f  1
+  15 3.2462198e-005 4.75e-001 1.05e+003  -1.0 1.73e+002    -  1.00e+000 4.30e-003f  1
+  16 9.8963008e-005 2.74e-001 8.52e+002  -1.0 1.41e+000    -  1.00e+000 4.23e-003h  1
+  17 9.2105755e-005 2.40e-001 5.57e+002  -1.0 3.56e-004    -  1.00e+000 1.00e+000f  1
+  18 7.9772743e-005 1.58e-001 3.60e+002  -1.0 7.13e-004    -  1.00e+000 1.00e+000h  1
+  19 6.9741224e-005 6.86e-002 1.47e+002  -1.0 7.40e-004    -  1.00e+000 1.00e+000h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  20 4.9888137e-005 3.97e-002 6.88e+001  -1.0 2.39e-003    -  1.00e+000 1.00e+000h  1
+  21 3.3950490e-004 3.02e-002 4.89e+001  -1.0 1.32e-002    -  1.00e+000 1.00e+000f  1
+  22 3.7536170e-003 1.95e-002 3.11e+001  -1.0 3.12e-002    -  1.00e+000 1.00e+000h  1
+  23 1.2981580e-002 8.58e-003 1.36e+001  -1.0 3.74e-002    -  1.00e+000 1.00e+000h  1
+  24 3.4681398e-002 3.23e-003 5.01e+000  -1.0 5.13e-002    -  1.00e+000 1.00e+000h  1
+  25 4.7179466e-002 4.50e-004 7.03e-001  -1.0 2.21e-002    -  1.00e+000 1.00e+000h  1
+  26 1.7082443e-002 2.83e-004 3.55e-001  -1.7 6.13e-002    -  1.00e+000 1.00e+000f  1
+  27 1.0216180e-002 7.79e-005 1.09e-001  -1.7 2.10e-002    -  1.00e+000 1.00e+000h  1
+  28 3.1289054e-003 5.64e-005 3.27e-002  -2.5 3.21e-002    -  1.00e+000 1.00e+000h  1
+  29 1.4987215e-003 2.18e-005 2.21e-002  -2.5 1.23e-002    -  1.00e+000 1.00e+000h  1
+iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
+  30 3.8554063e-004 1.69e-005 4.50e-003  -3.8 1.40e-002    -  1.00e+000 1.00e+000h  1
+  31 1.3832051e-004 9.18e-006 4.39e-003  -3.8 6.31e-003    -  1.00e+000 1.00e+000h  1
+  32 8.9968997e-005 2.11e-006 9.99e-006  -3.8 2.18e-003    -  1.00e+000 1.00e+000h  1
+  33 5.4301800e-005 9.79e-007 2.80e-003  -5.7 3.00e-003    -  1.00e+000 1.00e+000h  1
+  34 5.0216846e-005 2.09e-007 1.11e-004  -5.7 1.14e-003    -  1.00e+000 1.00e+000h  1
+  35 5.0020268e-005 9.37e-009 2.55e-005  -5.7 2.29e-004    -  1.00e+000 1.00e+000h  1
+  36 5.0016425e-005 1.85e-011 1.06e-008  -5.7 1.00e-005    -  1.00e+000 1.00e+000h  1
+  37 5.0000006e-005 3.39e-013 3.16e-006  -8.6 8.89e-005    -  1.00e+000 1.00e+000h  1
+  38 5.0000000e-005 5.55e-015 4.02e-013  -8.6 1.58e-006    -  1.00e+000 1.00e+000h  1
+
+Number of Iterations....: 38
+
+                                   (scaled)                 (unscaled)
+Objective...............:  5.0000000031647193e-005   5.0000000031647193e-005
+Dual infeasibility......:  4.0225288377992996e-013   4.0225288377992996e-013
+Constraint violation....:  5.5511151231257827e-015   5.5511151231257827e-015
+Complementarity.........:  2.5158913589264014e-009   2.5158913589264014e-009
+Overall NLP error.......:  2.5158913589264014e-009   2.5158913589264014e-009
+
+
+Number of objective function evaluations             = 44
+Number of objective gradient evaluations             = 39
+Number of equality constraint evaluations            = 44
+Number of inequality constraint evaluations          = 0
+Number of equality constraint Jacobian evaluations   = 39
+Number of inequality constraint Jacobian evaluations = 0
+Number of Lagrangian Hessian evaluations             = 38
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.012
+Total CPU secs in NLP function evaluations           =      0.001
+
+EXIT: Optimal Solution Found.
+1.0050001257911454
+0.005000125791145421
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Nonlinear Exercises/1.4 Reactor design problem.html b/_build/html/Material/Nonlinear Exercises/1.4 Reactor design problem.html new file mode 100644 index 00000000..b4eb61c2 --- /dev/null +++ b/_build/html/Material/Nonlinear Exercises/1.4 Reactor design problem.html @@ -0,0 +1,700 @@ + + + + + + + + + + + 1.4 Reactor design problem (Hart et al., 2017; Bequette, 2003): — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
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    + + + Ctrl+K +
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    +

    1.4 Reactor design problem (Hart et al., 2017; Bequette, 2003):

    + +
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    + +
    +
    +
    + + + + +
    + +
    +

    1.4 Reactor design problem (Hart et al., 2017; Bequette, 2003):#

    +

    In this example, we will consider a chemical reactor designed to produce +product B from reactant A using a reaction scheme known as the Van +de Vusse reaction:

    +
    +\[A^{\underrightarrow{k_{1}}}B^{\underrightarrow{k_{2}}}C\]
    +
    +\[2A^{\underrightarrow{k_{3}}}D\]
    +

    Under appropriate assumptions, \(F\) is the volumetric flowrate through the tank. The concentation of component \(A\) in the feed is \(c_{Af}\) , and the concentrations in the reactor are equivalent to the concentrations of each component flowing out of the reactor, given by \(c_{A}, c_{B}, c_{C}, c_{D}\)

    +

    If the reactor is too small, we will not produce sufficient quantity of \(B\), and if the reactor is too large, much of \(B\) will be further reacted to form the undesired product \(C\). Therefore, our goal is to solve for the reactor volume that maximizes the outlet concentration for product \(B\).

    +

    The steady-state mole balances for each of the four components are given by,

    +
    +\[0 = \frac{F}{V}c_{Af} - \frac{F}{V}c_{A} - k_{1}c_{A} - 2k_{3}c_{A}^{2}\]
    +
    +\[0 = -\frac{F}{V}c_{B} + k_{1}c_{A} - k_{2}c_{B}\]
    +
    +\[0 = -\frac{F}{V}c_{C} + k_{2}c_{B}\]
    +
    +\[0 = -\frac{F}{V}c_{D} + k_{3}c_{A}^{2}\]
    +

    The known parameters for the system are,

    +
    +\[c_{Af} = 10 \frac{gmol}{m^3} \;\;\;\; k_{1} = \frac{5}{6} min^{-1} \;\;\;\; k_{2} = \frac{5}{3} min^{-1} \;\;\;\; k_{3} = \frac{1}{6000} \frac{m^{3}}{mol\;min}\]
    +

    Below we formulate and solve this optimization problem using Pyomo. Since the +volumetric flowrate \(F\) always appears as the numerator over the reactor +volume \(V\) , it is common to consider this ratio as a single variable, called +the space-velocity \(SV\).

    +
    +
    +
    import pyomo.environ as pyo
+
+# create the concrete model
+model = pyo.ConcreteModel()
+
+# set the data (native python data)
+k1 = 5.0/6.0     # min^-1
+k2 = 5.0/3.0     # min^-1
+k3 = 1.0/6000.0  # m^3/(gmol min)
+caf = 10000.0    # gmol/m^3
+
+# create the variables
+model.sv = pyo.Var(initialize = 1.0, within=pyo.PositiveReals)
+model.ca = pyo.Var(initialize = 5000.0, within=pyo.PositiveReals)
+model.cb = pyo.Var(initialize = 2000.0, within=pyo.PositiveReals)
+model.cc = pyo.Var(initialize = 2000.0, within=pyo.PositiveReals)
+model.cd = pyo.Var(initialize = 1000.0, within=pyo.PositiveReals)
+
+# create the objective
+model.obj = pyo.Objective(expr = model.cb, sense=pyo.maximize)
+
+# create the constraints
+model.ca_bal = pyo.Constraint(expr = (0 == model.sv * caf \
+                 - model.sv * model.ca - k1 * model.ca \
+                 -  2.0 * k3 * model.ca ** 2.0))
+
+model.cb_bal = pyo.Constraint(expr=(0 == -model.sv * model.cb \
+                 + k1 * model.ca - k2 * model.cb))
+
+model.cc_bal = pyo.Constraint(expr=(0 == -model.sv * model.cc \
+                 + k2 * model.cb))
+
+model.cd_bal = pyo.Constraint(expr=(0 == -model.sv * model.cd \
+                 + k3 * model.ca ** 2.0))
+
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+
+solver.solve(model)
+model.pprint()
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 39
+     36 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     37 solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 39 solver.solve(model)
+     40 model.pprint()
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals.html b/_build/html/Material/Pyomo Fundamentals.html new file mode 100644 index 00000000..57972ace --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals.html @@ -0,0 +1,536 @@ + + + + + + + + + + + Pyomo Fundamentals — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
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    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    Pyomo Fundamentals

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    Pyomo Fundamentals#

    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/1.1 Knapsack Example.html b/_build/html/Material/Pyomo Fundamentals/1.1 Knapsack Example.html new file mode 100644 index 00000000..501c10ae --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/1.1 Knapsack Example.html @@ -0,0 +1,627 @@ + + + + + + + + + + + 1.1 Knapsack example: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
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    + + +
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    + + + +
    + + + +
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    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    1.1 Knapsack example:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    1.1 Knapsack example:#

    +

    Below is the knapsack problem. Which items are acquired in the optimal solution? What is the value of the selected items?

    +
    +
    +
    # knapsack.py 
+import pyomo.environ as pyo
+
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+
+model.obj = pyo.Objective(
+    expr = sum( b[i]*model.x[i] for i in A ), 
+    sense = pyo.maximize )
+
+model.weight_con = pyo.Constraint(
+    expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+
+opt = pyo.SolverFactory('glpk')
+opt_success = opt.solve(model)
+
+model.pprint()
+
    +
    +
    +
    +
    WARNING: Could not locate the 'glpsol' executable, which is required for
+solver 'glpk'
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 20
+     16 model.weight_con = pyo.Constraint(
+     17     expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+     19 opt = pyo.SolverFactory('glpk')
+---> 20 opt_success = opt.solve(model)
+     22 model.pprint()
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'glpk'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/1.2 Knapsack with improved printing.html b/_build/html/Material/Pyomo Fundamentals/1.2 Knapsack with improved printing.html new file mode 100644 index 00000000..a5e851d4 --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/1.2 Knapsack with improved printing.html @@ -0,0 +1,642 @@ + + + + + + + + + + + 1.2 Knapsack with improved printing: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
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    + + + Ctrl+K +
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    + +
    + +
    + + +
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    + + + +
    + + + +
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    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    1.2 Knapsack with improved printing:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    1.2 Knapsack with improved printing:#

    +

    The knapsack.py example shown +in the tutorial uses model.pprint() to see the value of the solution +variables. Note that the Pyomo value function should be used to get the floating point value of Pyomo modeling components (e.g., print(value(model.x[i])). We can also +print the value of the items selected (the objective), and the total +weight.

    +
    +
    +
    import pyomo.environ as pyo
+
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+
+model.obj = pyo.Objective(
+    expr = sum( b[i]*model.x[i] for i in A ), 
+    sense = pyo.maximize )
+
+model.weight_con = pyo.Constraint(
+    expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+
+opt = pyo.SolverFactory('cbc')
+opt_success = opt.solve(model)
+
+total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+print('Total Weight:', total_weight)
+print('Total Benefit:', pyo.value(model.obj))
+
+print('%12s %12s' % ('Item', 'Selected'))
+print('=========================')
+for i in A:
+    acquired = 'No'
+    if pyo.value(model.x[i]) >= 0.5:
+        acquired = 'Yes'
+    print('%12s %12s' % (i, acquired))
+print('-------------------------')
+
    +
    +
    +
    +
    WARNING: Could not locate the 'cbc' executable, which is required for solver
+cbc
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 19
+     15 model.weight_con = pyo.Constraint(
+     16     expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+     18 opt = pyo.SolverFactory('cbc')
+---> 19 opt_success = opt.solve(model)
+     21 total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+     22 print('Total Weight:', total_weight)
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'cbc'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/1.3 Changing data.html b/_build/html/Material/Pyomo Fundamentals/1.3 Changing data.html new file mode 100644 index 00000000..9a94195c --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/1.3 Changing data.html @@ -0,0 +1,638 @@ + + + + + + + + + + + 1.3 Changing data: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
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    + + +
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    + + + +
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    + + + +
    +

    1.3 Changing data:

    + +
    +
    + +
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    +
    + + + + +
    + +
    +

    1.3 Changing data:#

    +

    When we increase the value of the wrench, at what point would it become selected as part of the optimal solution?

    +
    +
    +
    import pyomo.environ as pyo
+
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':8, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+
+model.obj = pyo.Objective(
+    expr = sum( b[i]*model.x[i] for i in A ), 
+    sense = pyo.maximize )
+
+model.weight_con = pyo.Constraint(
+    expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+
+opt = pyo.SolverFactory('cbc')
+opt_success = opt.solve(model)
+
+total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+print('Total Weight:', total_weight)
+print('Total Benefit:', pyo.value(model.obj))
+
+print('%12s %12s' % ('Item', 'Selected'))
+print('=========================')
+for i in A:
+    acquired = 'No'
+    if pyo.value(model.x[i]) >= 0.5:
+        acquired = 'Yes'
+    print('%12s %12s' % (i, acquired))
+print('-------------------------')
+
    +
    +
    +
    +
    WARNING: Could not locate the 'cbc' executable, which is required for solver
+cbc
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 19
+     15 model.weight_con = pyo.Constraint(
+     16     expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+     18 opt = pyo.SolverFactory('cbc')
+---> 19 opt_success = opt.solve(model)
+     21 total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+     22 print('Total Weight:', total_weight)
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'cbc'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/1.4 Loading data from Excel.html b/_build/html/Material/Pyomo Fundamentals/1.4 Loading data from Excel.html new file mode 100644 index 00000000..d668f427 --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/1.4 Loading data from Excel.html @@ -0,0 +1,643 @@ + + + + + + + + + + + 1.4 Loading data from Excel: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
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    +
    + + +
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    + + + + +
    + +
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    + +
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    + + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    1.4 Loading data from Excel:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    1.4 Loading data from Excel:#

    +

    In the knapsack example shown in the tutorial slides, the data is hardcoded at the top of the file. Instead of hard-coding the data, we can Python to load the data from a different source.

    +
    +
    +
    import pandas as pd
+import pyomo.environ as pyo
+import os
+import openpyxl
+path = os.path.abspath('knapsack_data.xlsx')
+df_items = pd.read_excel(path, sheet_name='data', header=0, index_col=0)
+W_max = 14
+
+A = df_items.index.tolist()
+b = df_items['Benefit'].to_dict()
+w = df_items['Weight'].to_dict()
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+
+model.obj = pyo.Objective(
+    expr = sum( b[i]*model.x[i] for i in A ), 
+    sense = pyo.maximize )
+
+model.weight_con = pyo.Constraint(
+    expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+
+opt = pyo.SolverFactory('cbc')
+opt_success = opt.solve(model)
+
+total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+print('Total Weight:', total_weight)
+print('Total Benefit:', pyo.value(model.obj))
+
+print('%12s %12s' % ('Item', 'Selected'))
+print('=========================')
+for i in A:
+    acquired = 'No'
+    if pyo.value(model.x[i]) >= 0.5:
+        acquired = 'Yes'
+    print('%12s %12s' % (i, acquired))
+print('-------------------------')
+
    +
    +
    +
    +
    WARNING: Could not locate the 'cbc' executable, which is required for solver
+cbc
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 24
+     20 model.weight_con = pyo.Constraint(
+     21     expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+     23 opt = pyo.SolverFactory('cbc')
+---> 24 opt_success = opt.solve(model)
+     26 total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+     27 print('Total Weight:', total_weight)
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'cbc'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/1.5 NLP vs MIP.html b/_build/html/Material/Pyomo Fundamentals/1.5 NLP vs MIP.html new file mode 100644 index 00000000..93fff171 --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/1.5 NLP vs MIP.html @@ -0,0 +1,656 @@ + + + + + + + + + + + 1.5 NLP vs MIP: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
    +
    +
    + + +
    +
    + + + + +
    + +
    + + + +
    + +
    +
    + +
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    + +
    + +
    + +
    + + +
    + +
    + +
    + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    1.5 NLP vs MIP:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    1.5 NLP vs MIP:#

    +

    Here we solve the knapsack problem with Ipopt instead of cbc. What happened? Why?

    +
    +
    +
    import pyomo.environ as pyo
+import os
+os.environ['PATH'] += ':solvers'
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+
+model.obj = pyo.Objective(
+    expr = sum( b[i]*model.x[i] for i in A ), 
+    sense = pyo.maximize )
+
+model.weight_con = pyo.Constraint(
+    expr = sum( w[i]*model.x[i] for i in A ) <= W_max )
+ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+opt = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+opt_success = opt.solve(model)
+
+model.pprint()
+
    +
    +
    +
    +
    WARNING: Failed to create solver with name 'ipopt': Failed to set executable
+for solver ipopt. File with
+name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+either does not exist or it is not executable. To skip this validation, call
+set_executable with validate=False.
+Traceback (most recent call last):
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py", line 148, in __call__
+    opt = self._cls[_name](**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/IPOPT.py", line 44, in __init__
+    super(IPOPT, self).__init__(**kwds)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 66, in __init__
+    self.set_executable(name=executable, validate=validate)
+  File "/home/murraybj/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py", line 115, in set_executable
+    raise ValueError(
+ValueError: Failed to set executable for solver ipopt. File with name=/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt either does not exist or it is not executable. To skip this validation, call set_executable with validate=False.
+
    +
    +
    ---------------------------------------------------------------------------
+RuntimeError                              Traceback (most recent call last)
+Cell In[1], line 20
+     18 ipopt_runner_path = "/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt"
+     19 opt = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)
+---> 20 opt_success = opt.solve(model)
+     22 model.pprint()
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:99, in UnknownSolver.solve(self, *args, **kwds)
+     97 def solve(self, *args, **kwds):
+     98     """Perform optimization and return an SolverResults object."""
+---> 99     self._solver_error('solve')
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:116, in UnknownSolver._solver_error(self, method_name)
+    115     def _solver_error(self, method_name):
+--> 116         raise RuntimeError(
+    117             """Attempting to use an unavailable solver.
+    118 
+    119 The SolverFactory was unable to create the solver "%s"
+    120 and returned an UnknownSolver object.  This error is raised at the point
+    121 where the UnknownSolver object was used as if it were valid (by calling
+    122 method "%s").
+    123 
+    124 The original solver was created with the following parameters:
+    125 \t"""
+    126             % (self.type, method_name)
+    127             + "\n\t".join("%s: %s" % i for i in sorted(self._kwds.items()))
+    128             + "\n\t_args: %s" % (self._args,)
+    129             + "\n\toptions: %s" % (self.options,)
+    130         )
+
+RuntimeError: Attempting to use an unavailable solver.
+
+The SolverFactory was unable to create the solver "ipopt"
+and returned an UnknownSolver object.  This error is raised at the point
+where the UnknownSolver object was used as if it were valid (by calling
+method "solve").
+
+The original solver was created with the following parameters:
+	executable: /home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt
+	type: ipopt
+	_args: ()
+	options: {}
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/2.1 Knapsack problem with rules.html b/_build/html/Material/Pyomo Fundamentals/2.1 Knapsack problem with rules.html new file mode 100644 index 00000000..dd12d6c9 --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/2.1 Knapsack problem with rules.html @@ -0,0 +1,627 @@ + + + + + + + + + + + 2.1 Knapsack problem with rules: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
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    +
    + + +
    +
    + + + + +
    + +
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    + +
    + + +
    + +
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    + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    2.1 Knapsack problem with rules:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    2.1 Knapsack problem with rules:#

    +

    Rules are important for defining indexed constraints, however, they can also be used for single (i.e. scalar) constraints. Here we reimplement the model using +rules for the objective and the constraints.

    +
    +
    +
    import pyomo.environ as pyo
+
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+
+def obj_rule(m):
+    return sum( b[i]*m.x[i] for i in A )
+model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )
+
+def weight_con_rule(m):
+    return sum( w[i]*m.x[i] for i in A ) <= W_max
+model.weight_con = pyo.Constraint(rule=weight_con_rule)
+
+opt = pyo.SolverFactory('cbc')
+opt_success = opt.solve(model)
+
+model.pprint()
+
    +
    +
    +
    +
    WARNING: Could not locate the 'cbc' executable, which is required for solver
+cbc
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 20
+     17 model.weight_con = pyo.Constraint(rule=weight_con_rule)
+     19 opt = pyo.SolverFactory('cbc')
+---> 20 opt_success = opt.solve(model)
+     22 model.pprint()
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'cbc'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/2.2 Integer formulation of the knapsack problem.html b/_build/html/Material/Pyomo Fundamentals/2.2 Integer formulation of the knapsack problem.html new file mode 100644 index 00000000..f94a8cef --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/2.2 Integer formulation of the knapsack problem.html @@ -0,0 +1,658 @@ + + + + + + + + + + + 2.2 Integer formulation of the knapsack problem: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
    +
    + + + + + +
    +
    + +
    +
    +
    + + +
    +
    + + + + +
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    + +
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    + + + + + +
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    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    2.2 Integer formulation of the knapsack problem:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    2.2 Integer formulation of the knapsack problem:#

    +

    Consider again, the +knapsack problem. Assume now that we can acquire multiple items of +the same type. In this new formulation, \(x_{i}\) is now an integer variable +instead of a binary variable. One way to formulate this problem is as +follows:

    +
    +\[max_{q,x} \sum _{i \in A} v_{i}x_{i}\]
    +
    +\[s.t \sum _{i \in A} w_{i}x_{i} \leq W_{max}\]
    +
    +\[x_{i} = \sum ^{N} _{j=0}jq_{i,j} \;\;\;\;\;\;\; \forall i \in A\]
    +
    +\[0 \leq x \leq N\]
    +
    +\[q_{i,j} \in \{0,1\} \;\;\;\; \forall i \in A, j \in \{0..N\}\]
    +

    Below we implement this new formulation and solve. Is the solution surprising?

    +
    +
    +
    import pyomo.environ as pyo
+
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+N = range(6) # create a list from 0-5
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A )
+model.q = pyo.Var( A, N, within=pyo.Binary )
+
+def obj_rule(m):
+    return sum( b[i]*m.x[i] for i in A )
+model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )
+
+def weight_con_rule(m):
+    return sum( w[i]*m.x[i] for i in A ) <= W_max
+model.weight_con = pyo.Constraint(rule=weight_con_rule)
+
+def x_integer_rule(m, i):
+    return m.x[i] == sum( j*m.q[i,j] for j in N )
+model.x_integer = pyo.Constraint(A, rule=x_integer_rule)
+
+opt = pyo.SolverFactory('glpk')
+result_obj = opt.solve(model)
+
+total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+print('Total Weight:', total_weight)
+print('Total Benefit:', pyo.value(model.obj))
+
+print('%12s %12s' % ('Item', '# Selected'))
+print('=========================')
+for i in A:
+    print('%12s %12s' % (i, pyo.value(model.x[i])))
+print('-------------------------')
+
    +
    +
    +
    +
    WARNING: Could not locate the 'glpsol' executable, which is required for
+solver 'glpk'
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 26
+     23 model.x_integer = pyo.Constraint(A, rule=x_integer_rule)
+     25 opt = pyo.SolverFactory('glpk')
+---> 26 result_obj = opt.solve(model)
+     28 total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )
+     29 print('Total Weight:', total_weight)
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'glpk'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/3.1 Using the decorator notation for rules.html b/_build/html/Material/Pyomo Fundamentals/3.1 Using the decorator notation for rules.html new file mode 100644 index 00000000..05791a17 --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/3.1 Using the decorator notation for rules.html @@ -0,0 +1,650 @@ + + + + + + + + + + + 3.1 Using the decorator notation for rules: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
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    + + + Ctrl+K +
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    + +
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    + + +
    + + + + + + +
    + + +
    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    3.1 Using the decorator notation for rules:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    3.1 Using the decorator notation for rules:#

    +

    In the slides, we saw an alternative notation for declaring and defining Pyomo components using decorators. Below we change the model to use the decorator notation.

    +
    +
    +
    # Warehouse location determination problem using decorator notation
+import pyomo.environ as pyo
+
+model = pyo.ConcreteModel(name="(WL)")
+
+W = ['Harlingen', 'Memphis', 'Ashland']
+C = ['NYC', 'LA', 'Chicago', 'Houston']
+d = {('Harlingen', 'NYC'): 1956, \
+     ('Harlingen', 'LA'): 1606, \
+     ('Harlingen', 'Chicago'): 1410, \
+     ('Harlingen', 'Houston'): 330, \
+     ('Memphis', 'NYC'): 1096, \
+     ('Memphis', 'LA'): 1792, \
+     ('Memphis', 'Chicago'): 531, \
+     ('Memphis', 'Houston'): 567, \
+     ('Ashland', 'NYC'): 485, \
+     ('Ashland', 'LA'): 2322, \
+     ('Ashland', 'Chicago'): 324, \
+     ('Ashland', 'Houston'): 1236 }
+P = 2
+
+model.x = pyo.Var(W, C, bounds=(0,1))
+model.y = pyo.Var(W, within=pyo.Binary)
+
+@model.Objective()
+def obj(m):
+    return sum(d[w,c]*m.x[w,c] for w in W for c in C)
+
+@model.Constraint(C)
+def one_per_cust(m, c):
+    return sum(m.x[w,c] for w in W) == 1
+
+@model.Constraint(W,C)
+def warehouse_active(m, w, c):
+    return m.x[w,c] <= m.y[w]
+
+@model.Constraint()
+def num_warehouses(m):
+    return sum(m.y[w] for w in W) <= P
+
+pyo.SolverFactory('glpk').solve(model)
+
+model.y.pprint()
+model.x.pprint()
+
    +
    +
    +
    +
    WARNING: Could not locate the 'glpsol' executable, which is required for
+solver 'glpk'
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 41
+     37 @model.Constraint()
+     38 def num_warehouses(m):
+     39     return sum(m.y[w] for w in W) <= P
+---> 41 pyo.SolverFactory('glpk').solve(model)
+     43 model.y.pprint()
+     44 model.x.pprint()
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'glpk'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/3.2 Changing Parameter values.html b/_build/html/Material/Pyomo Fundamentals/3.2 Changing Parameter values.html new file mode 100644 index 00000000..ffda970c --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/3.2 Changing Parameter values.html @@ -0,0 +1,631 @@ + + + + + + + + + + + 3.2 Changing Parameter values: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
    +
    + + + +
    + + + +
    + + + + +
    + +
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    + + + + + + + + + + + + + +
    + +
    + +
    +
    + + + +
    +

    3.2 Changing Parameter values:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    3.2 Changing Parameter values:#

    +

    In the tutorial slides, we saw that a parameter could be specified to be mutable. This tells Pyomo that the value of the parameter may change in the future, and allows the user to change the parameter value and resolve the problem without the need to rebuild the entire model each time. We will use this functionality +to find a better solution to an earlier exercise. Considering again the knapsack problem, we would like to find when the wrench becomes valuable enough to be a part of the optimal solution. Below we create a Pyomo Parameter for the value of the items, make it mutable, and then write a loop that prints the solution for different wrench values.

    +
    +
    +
    import pyomo.environ as pyo
+
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+model.item_benefit = pyo.Param( A, within=pyo.NonNegativeReals, initialize=b, mutable=True)
+
+def obj_rule(m):
+    return sum( m.item_benefit[i]*m.x[i] for i in A )
+model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )
+
+def weight_rule(m):
+    return sum( w[i]*m.x[i] for i in A ) <= W_max
+model.weight = pyo.Constraint(rule=weight_rule)
+
+opt = pyo.SolverFactory('glpk')
+
+for wrench_benefit in range(1,11):
+    model.item_benefit['wrench'] = wrench_benefit
+    result_obj = opt.solve(model)
+
+    print('Wrench benefit:', wrench_benefit, "x['wrench']:", pyo.value(model.x['wrench']))
+
    +
    +
    +
    +
    WARNING: Could not locate the 'glpsol' executable, which is required for
+solver 'glpk'
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 24
+     22 for wrench_benefit in range(1,11):
+     23     model.item_benefit['wrench'] = wrench_benefit
+---> 24     result_obj = opt.solve(model)
+     26     print('Wrench benefit:', wrench_benefit, "x['wrench']:", pyo.value(model.x['wrench']))
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'glpk'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/3.3 Integer cuts.html b/_build/html/Material/Pyomo Fundamentals/3.3 Integer cuts.html new file mode 100644 index 00000000..1a7b4b62 --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/3.3 Integer cuts.html @@ -0,0 +1,655 @@ + + + + + + + + + + + 3.3 Integer cuts: — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
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    + + + +
    +

    3.3 Integer cuts:

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    3.3 Integer cuts:#

    +

    Often, it can be important to find not only the “best” solution, but a number of solutions that are equally optimal, or close to optimal. For discrete optimization problems, this can be done using something known as an integer cut. Consider again the knapsack problem where the choice of which items to select is a discrete variable \(x_{i} \forall i \in A\). Let \(x_{i}^{*}\) be a particular set of x values we want to remove from the feasible solution space. We define an integer cut using two sets. The first set \(S_{0}\) contains the indices for those variables whose current solution is 0, and the second set \(S_{1}\) consists of indices for those variables whose current solution is 1. Given these two sets, an integer cut constraint that would prevent such a solution from appearing again +is defined by,

    +
    +\[\sum _{i \in S_{0}}x[i] + \sum _{i \in \in S_{1}}(1 - x[i]) \geq 1\]
    +

    Below, we write a loop that solves the problem 5 times, adding an integer cut to remove the previous solution, and printing the value of the objective function and the solution at each iteration of the loop.

    +
    +
    +
    import pyomo.environ as pyo
+
+A = ['hammer', 'wrench', 'screwdriver', 'towel']
+b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}
+w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}
+W_max = 14
+
+model = pyo.ConcreteModel()
+model.x = pyo.Var( A, within=pyo.Binary )
+
+def obj_rule(m):
+    return sum( b[i]*m.x[i] for i in A )
+model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )
+
+def weight_con_rule(m):
+    return sum( w[i]*m.x[i] for i in A ) <= W_max
+model.weight_con = pyo.Constraint(rule=weight_con_rule)
+
+opt = pyo.SolverFactory('glpk')
+
+
+# create the ConstraintList to hold the integer cuts
+model.int_cuts = pyo.ConstraintList()
+
+# loop 5 times
+for l in range(5):
+    # solve the problem
+    result_obj = opt.solve(model)
+
+    # print the solution
+    output_str = 'Obj: ' + str(pyo.value(model.obj))
+    for i in A:
+        output_str += "  x[%s]: %f" % (str(i), pyo.value(model.x[i]))
+    print(output_str)           
+    
+    # add the integer cut based on the current solution
+    cut_expr = 0
+    for i in A:
+        if pyo.value(model.x[i]) < 0.5:
+            cut_expr += model.x[i]
+        else:
+            cut_expr += (1.0 - model.x[i])
+    model.int_cuts.add(cut_expr >= 1)
+
    +
    +
    +
    +
    WARNING: Could not locate the 'glpsol' executable, which is required for
+solver 'glpk'
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 28
+     25 # loop 5 times
+     26 for l in range(5):
+     27     # solve the problem
+---> 28     result_obj = opt.solve(model)
+     30     # print the solution
+     31     output_str = 'Obj: ' + str(pyo.value(model.obj))
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'glpk'
+
    +
    +
    +
    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
    + +
    + +
    + +

    +By Ben Murray, David Bernal +

    + +
    + +
    + + +

    + + © Copyright 2023. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    +
    + + + + + +
    +
    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/3.4 Putting it all together with the lot sizing example.html b/_build/html/Material/Pyomo Fundamentals/3.4 Putting it all together with the lot sizing example.html new file mode 100644 index 00000000..90ffda06 --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/3.4 Putting it all together with the lot sizing example.html @@ -0,0 +1,710 @@ + + + + + + + + + + + 3.4 Putting it all together with the lot sizing example: (Hart et al., 2017) — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + +
    +
    +
    +
    + + + Ctrl+K +
    +
    + +
    + +
    + + +
    +
    + + +
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    + + + +
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    +

    3.4 Putting it all together with the lot sizing example: (Hart et al., 2017)

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    3.4 Putting it all together with the lot sizing example: (Hart et al., 2017)#

    +

    We will now write a complete model from scratch using a well-known multi-period optimization problem for optimal lot-sizing adapted from +Hagen et al. (2001) shown below.

    +
    +\[\begin{split}\begin{align} +min \sum _{t \in T} c_{t} y_{t} + h_{t}^{+}I_{t}^{+} + h_{t}^{-}I_{t}^{-} \\ +s.t. \;\;\;I_{t} &= I_{t-1} + X_{t} - d_{t} \\ +I_{t} &= I_{t}^{+} - I_{t}^{-} \\ +X_{t} &\leq Py_{t} \\ +X_{t}, I_{t}^{+}, I_{t}^{-} &\geq 0 \\ +y_{t} &\in \{0,1\} +\end{align} +\end{split}\]
    +

    Our goal is to find the optimal production \(X_{t}\) given known demands \(d_{t}\), fixed cost \(c_{t}\) associated with active production in a particular time +period, an inventory holding cost \(h_{t}^{+}\) and a shortage cost \(h_{t}^{-}\) (cost of keeping a backlog) of orders. The variable \(y_{t}\) (binary) determines if we produce in time \(t\) or not, and \(I_{t}^{+}\) represents inventory that we are storing +across time period \(t\), while \(h_{t}^{-}\) represents the magnitude of the backlog. +Note that equation (4) is a constraint that only allows production in time period t if the indicator variable \(y_{t}=1\). Below we write a Pyomo model for this problem and solve it using glpk using the data provided below.

    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    Parameter

    Description

    Value

    \(c\)

    fixed cost of production

    4.6

    \(I_{0}^{+}\)

    initial value of positive inventory

    5.0

    \(I_{0}^{-}\)

    initial value of backlogged orders

    0.0

    \(h^{+}\)

    cost (per unit) of holding inventory

    0.7

    \(h^{-}\)

    shortage cost (per unit)

    1.2

    \(P\)

    maximum production amount (big-M value)

    5

    \(d\)

    demand

    [5,7,6.2,3.1,1.7]

    +
    +
    +
    +
    import pyomo.environ as pyo
+
+model = pyo.ConcreteModel()
+model.T = pyo.RangeSet(5)    # time periods
+
+i0 = 5.0           # initial inventory
+c = 4.6            # setup cost
+h_pos = 0.7        # inventory holding cost
+h_neg = 1.2        # shortage cost
+P = 5.0            # maximum production amount
+
+# demand during period t
+d = {1: 5.0, 2:7.0, 3:6.2, 4:3.1, 5:1.7}
+
+# define the variables
+model.y = pyo.Var(model.T, domain=pyo.Binary)
+model.x = pyo.Var(model.T, domain=pyo.NonNegativeReals)
+model.i = pyo.Var(model.T)
+model.i_pos = pyo.Var(model.T, domain=pyo.NonNegativeReals)
+model.i_neg = pyo.Var(model.T, domain=pyo.NonNegativeReals)
+
+# define the inventory relationships
+def inventory_rule(m, t):
+    if t == m.T.first():
+        return m.i[t] == i0 + m.x[t] - d[t]
+    return m.i[t] == m.i[t-1] + m.x[t] - d[t]
+model.inventory = pyo.Constraint(model.T, rule=inventory_rule)
+
+def pos_neg_rule(m, t):
+    return m.i[t] == m.i_pos[t] - m.i_neg[t]
+model.pos_neg = pyo.Constraint(model.T, rule=pos_neg_rule)
+
+# create the big-M constraint for the production indicator variable
+def prod_indicator_rule(m,t):
+    return m.x[t] <= P*m.y[t]
+model.prod_indicator = pyo.Constraint(model.T, rule=prod_indicator_rule)
+
+# define the cost function
+def obj_rule(m):
+    return sum(c*m.y[t] + h_pos*m.i_pos[t] + h_neg*m.i_neg[t] for t in m.T)
+model.obj = pyo.Objective(rule=obj_rule)
+
+# solve the problem
+solver = pyo.SolverFactory('glpk')
+solver.solve(model)
+
+# print the results
+for t in model.T:
+    print('Period: {0}, Prod. Amount: {1}'.format(t, pyo.value(model.x[t]))) 
+
    +
    +
    +
    +
    WARNING: Could not locate the 'glpsol' executable, which is required for
+solver 'glpk'
+
    +
    +
    ---------------------------------------------------------------------------
+ApplicationError                          Traceback (most recent call last)
+Cell In[1], line 45
+     43 # solve the problem
+     44 solver = pyo.SolverFactory('glpk')
+---> 45 solver.solve(model)
+     47 # print the results
+     48 for t in model.T:
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/base/solvers.py:534, in OptSolver.solve(self, *args, **kwds)
+    531 def solve(self, *args, **kwds):
+    532     """Solve the problem"""
+--> 534     self.available(exception_flag=True)
+    535     #
+    536     # If the inputs are models, then validate that they have been
+    537     # constructed! Collect suffix names to try and import from solution.
+    538     #
+    539     from pyomo.core.base.block import BlockData
+
+File ~/CHE498/pyomo_jupyter_book/.venv/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py:140, in SystemCallSolver.available(self, exception_flag)
+    138     if exception_flag:
+    139         msg = "No executable found for solver '%s'"
+--> 140         raise ApplicationError(msg % self.name)
+    141     return False
+    142 return True
+
+ApplicationError: No executable found for solver 'glpk'
+
    +
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    +By Ben Murray, David Bernal +

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    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/Exercises 1.html b/_build/html/Material/Pyomo Fundamentals/Exercises 1.html new file mode 100644 index 00000000..360964ca --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/Exercises 1.html @@ -0,0 +1,534 @@ + + + + + + + + + + + Exercises 1 — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Exercises 1

    + +
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    + + + + +
    + +
    +

    Exercises 1#

    +
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    +
    + + + + +
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    +By Ben Murray, David Bernal +

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    Exercises 2

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    Exercises 2#

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    +By Ben Murray, David Bernal +

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    + + \ No newline at end of file diff --git a/_build/html/Material/Pyomo Fundamentals/Exercises 3.html b/_build/html/Material/Pyomo Fundamentals/Exercises 3.html new file mode 100644 index 00000000..dc179f5b --- /dev/null +++ b/_build/html/Material/Pyomo Fundamentals/Exercises 3.html @@ -0,0 +1,536 @@ + + + + + + + + + + + Exercises 3 — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Exercises 3

    + +
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    Exercises 3#

    +
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    +By Ben Murray, David Bernal +

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    + + \ No newline at end of file diff --git a/_build/html/Material/References.html b/_build/html/Material/References.html new file mode 100644 index 00000000..237b64f5 --- /dev/null +++ b/_build/html/Material/References.html @@ -0,0 +1,525 @@ + + + + + + + + + + + References — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    +

    References

    + +
    +
    + +
    +
    +
    + + + + +
    + +
    +

    References#

    +

    Hart, W. E., Laird, C. D., Watson, J. P., Woodruff, D. L., Hackebeil, G.A., Nicholson, B. L., and Siirola, J. D. Pyomo: Optimization Modeling in Python (Second Edition), Vol (67), Springer Verlag, 2017.

    +

          Kjetil K. Haugen, Arne Lkketangen,and David L. Woodruff. Progressive hedging as a meta-heuristic applied to stochastic lot-sizing. European Journal of Operational Research, 132(1):116 122, 2001

    +

          B.W. Bequette. Process control: modeling, design, and simulation. Prentice Hall 2003.

    +
    + + + + +
    + + + + + + + + +
    + + + + +
    +
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    +By Ben Murray, David Bernal +

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    + + © Copyright 2023. +
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    + + \ No newline at end of file diff --git a/_build/html/README.html b/_build/html/README.html new file mode 100644 index 00000000..0aafe600 --- /dev/null +++ b/_build/html/README.html @@ -0,0 +1,550 @@ + + + + + + + + + + + pyomo_jupyter_book — Pyomo Workshop + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    pyomo_jupyter_book

    + +
    +
    + +
    +

    Contents

    +
    + +
    +
    +
    + + + + +
    + +
    +

    pyomo_jupyter_book#

    +

    A conversion of the Pyomo workshop into a jupyter book

    +

    Find the companion website here

    +
    +

    How to build locally#

    +

    Ensure you’ve opened the directory of the jupyter-book as the working directory. You should have a _config.yml and _toc.yml file in this directory. Make sure you’re in a virtual environment. Install jupyter-book is using: +pip install jupyter-book +then +jupyter-book build ./ +to build the current working directory into a jupyter-book.

    +

    The html is in the folder _build\html\ and you can preview the book by opening the file _build\html\index.html

    +
    +
    + + + + +
    + + + + + + +
    + +
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    +
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    + + +
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    + Contents +
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    + +
    + + +
    +
    + +
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    + +

    +By Ben Murray, David Bernal +

    + +
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    + + +

    + + © Copyright 2023. +
    + +

    + +
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    + + + + + +
    +
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"model.x1dot = DerivativeVar(model.x1,wrt=model.t)\n", + "model.x2dot = DerivativeVar(model.x2)\n", + "\n", + "def _init_conditions(model):\n", + "\tyield model.x1[0] == model.p1\n", + "\tyield model.x2[0] == model.p2\n", + "model.init_conditions = pyo.ConstraintList(rule=_init_conditions)\n", + "\n", + "# Alternate way to declare initial conditions\n", + "#def _initx1(model):\n", + "#\treturn model.x1[0] == model.p1\t\t\n", + "#model.initx1 = pyo.Constraint(rule=_initx1)\n", + "\n", + "#def _initx2(model):\n", + "#\treturn model.x2[0] == model.p2\n", + "#model.initx2 = pyo.Constraint(rule=_initx2)\n", + "\n", + "def _x1dot(model,i):\n", + "\treturn model.x1dot[i] == model.x2[i]\n", + "model.x1dotcon = pyo.Constraint(model.t, rule=_x1dot)\n", + "\n", + "def _x2dot(model,i):\n", + "\treturn model.x2dot[i] == 1-2*model.x2[i]-model.x1[i]\n", + "model.x2dotcon = pyo.Constraint(model.t, rule=_x2dot)\n", + "\n", + "def _obj(model):\n", + "\treturn sum((model.x1[i]-measurements[i])**2 for i in measurements.keys())\n", + "model.obj = pyo.Objective(rule=_obj)\n", + "\n", + "# Discretize model using Orthogonal Collocation\n", + "discretizer = pyo.TransformationFactory('dae.collocation')\n", + "discretizer.apply_to(model,nfe=8,ncp=5)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "\n", + "results = solver.solve(model,tee=True)\n", + "\n", + "t_meas = sorted(list(measurements.keys()))\n", + "x1_meas = [pyo.value(measurements[i]) for i in sorted(measurements.keys())]\n", + "\n", + "t = list(model.t)\n", + "x1 = [pyo.value(model.x1[i]) for i in model.t]\n", + " \n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.plot(t,x1)\n", + "plt.plot(t_meas,x1_meas,'o')\n", + "plt.xlabel('t')\n", + "plt.ylabel('x')\n", + "plt.title('Dynamic Parameter Estimation Using Collocation')\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Dynamic Exercises/param_est2.ipynb b/_build/html/_sources/Material/Dynamic Exercises/param_est2.ipynb new file mode 100644 index 00000000..c001f789 --- /dev/null +++ b/_build/html/_sources/Material/Dynamic Exercises/param_est2.ipynb @@ -0,0 +1,629 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Parameter Estimation 2\n", + "\n", + "Here we work through an example of Kinetic Parameter Estimation.\n", + "\n", + "First we simulate the kinematic behaviour" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "

    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.dae import ContinuousSet, DerivativeVar, Simulator\n", + "import scipy\n", + "\n", + "m = pyo.ConcreteModel()\n", + "\n", + "m.t = ContinuousSet(bounds=(0,1))\n", + "m.a = pyo.Var(m.t)\n", + "m.b = pyo.Var(m.t)\n", + "\n", + "m.k1 = pyo.Param(initialize=5)\n", + "m.k2 = pyo.Param(initialize=1)\n", + "\n", + "m.dadt = DerivativeVar(m.a)\n", + "m.dbdt = DerivativeVar(m.b)\n", + "\n", + "m.a[0].fix(1)\n", + "m.b[0].fix(0)\n", + "\n", + "def _da(m, t):\n", + " return m.dadt[t] == -m.k1*m.a[t]\n", + "m.da_con = pyo.Constraint(m.t, rule=_da)\n", + "\n", + "def _db(m, t):\n", + " return m.dbdt[t] == m.k1*m.a[t] - m.k2*m.b[t]\n", + "m.db_con = pyo.Constraint(m.t, rule=_db)\n", + "\n", + "mysim = Simulator(m, package='scipy')\n", + "tsim, profiles = mysim.simulate(integrator='vode', numpoints=100)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "varorder = mysim.get_variable_order()\n", + "for idx, v in enumerate(varorder):\n", + " plt.plot(tsim, profiles[:, idx], label=v)\n", + "\n", + "plt.xlabel('t')\n", + "plt.legend(loc='best')\n", + "plt.show()\n", + "\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now let's estimate the parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 550\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 82\n", + "\n", + "Total number of variables............................: 126\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 62\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 124\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 3.6615861e+000 9.90e-001 5.94e-002 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 3.6629897e+000 9.88e-001 7.45e-001 -1.7 1.87e+002 - 1.01e-002 2.51e-003h 4\n", + " 2 3.6603131e+000 9.75e-001 1.30e+000 -1.7 1.72e+002 - 1.69e-002 1.30e-002f 2\n", + " 3 3.6608441e+000 9.74e-001 1.33e+001 -1.7 2.68e+002 - 5.93e-002 3.38e-004h 6\n", + " 4 3.5037068e+000 8.92e-001 1.43e+001 -1.7 1.09e+002 - 4.56e-002 8.43e-002f 1\n", + " 5 3.4924703e+000 8.73e-001 3.43e+002 -1.7 1.49e+002 - 5.89e-001 2.12e-002h 3\n", + " 6 3.3768345e+000 7.61e-001 6.01e+002 -1.7 8.52e+001 - 7.87e-002 1.29e-001h 2\n", + " 7 3.3421277e+000 7.11e-001 6.56e+002 -1.7 6.92e+001 - 4.48e-001 6.53e-002H 1\n", + " 8 3.3131009e+000 6.49e-001 7.61e+002 -1.7 9.22e+001 - 3.90e-002 8.81e-002h 3\n", + " 9 3.2866091e+000 5.80e-001 7.80e+002 -1.7 1.21e+002 - 2.37e-001 1.06e-001h 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 3.0889266e+000 7.63e-001 1.80e+002 -1.7 6.41e+001 - 5.95e-001 9.90e-001H 1\n", + " 11 3.1019027e+000 2.49e-001 2.25e+002 -1.7 2.44e+001 - 3.31e-001 9.90e-001h 1\n", + " 12 2.6900557e+000 1.11e+001 2.08e+004 -1.7 8.92e+001 - 3.72e-001 9.90e-001h 1\n", + " 13 2.5940881e+000 1.04e+001 2.15e+004 -1.7 2.48e+002 - 3.77e-002 3.89e-002h 1\n", + " 14 2.5828123e+000 1.03e+001 1.94e+004 -1.7 7.45e+001 -2.0 7.81e-003 6.23e-003h 1\n", + " 15 2.6632291e+000 1.26e+001 3.37e+005 -1.7 1.21e+002 - 9.94e-003 2.69e-001f 1\n", + " 16 2.7587278e+000 1.19e+001 3.93e+005 -1.7 3.75e+001 -0.7 9.59e-003 6.72e-002h 1\n", + " 17 2.7634022e+000 1.19e+001 3.32e+005 -1.7 4.07e+001 -1.1 4.56e-002 1.84e-003h 1\n", + " 18 2.9029379e+000 1.15e+001 2.76e+005 -1.7 1.45e+002 -1.6 5.70e-002 2.07e-002h 1\n", + " 19 2.9064212e+000 1.15e+001 1.94e+005 -1.7 1.46e+001 - 3.65e-001 1.98e-003h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 2.9777819e+000 1.09e+001 2.62e+005 -1.7 9.65e+000 - 1.39e-001 5.63e-002h 1\n", + " 21 2.9781801e+000 1.08e+001 2.63e+005 -1.7 8.00e+000 - 2.31e-003 3.28e-004h 2\n", + " 22 3.0173374e+000 1.05e+001 2.25e+005 -1.7 6.47e+000 - 4.77e-004 3.45e-002f 2\n", + " 23 3.0623458e+000 1.01e+001 4.69e+005 -1.7 6.66e+000 - 3.29e-001 3.84e-002h 3\n", + " 24 3.0978406e+000 9.78e+000 4.85e+005 -1.7 6.78e+000 - 7.44e-002 2.96e-002h 3\n", + " 25 3.1115858e+000 9.67e+000 6.90e+005 -1.7 6.84e+000 - 3.48e-001 1.13e-002h 4\n", + " 26 3.2162760e+000 8.90e+000 6.63e+005 -1.7 6.85e+000 - 1.40e-001 8.01e-002h 1\n", + " 27 3.2173913e+000 8.89e+000 6.66e+005 -1.7 7.20e+000 - 8.13e-003 8.57e-004h 1\n", + " 28 3.2202040e+000 8.83e+000 6.59e+005 -1.7 3.29e+001 - 5.29e-005 6.29e-003f 1\n", + " 29 3.2628294e+000 8.10e+000 5.89e+005 -1.7 3.17e+001 - 4.70e-002 8.35e-002h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 3.2633851e+000 8.09e+000 5.96e+005 -1.7 2.40e+001 - 1.97e-002 7.38e-004h 1\n", + " 31 3.2630525e+000 8.08e+000 5.94e+005 -1.7 4.97e+001 - 1.43e-005 1.45e-003f 1\n", + " 32 3.2712218e+000 7.58e+000 5.52e+005 -1.7 4.12e+001 - 4.76e-002 6.18e-002f 1\n", + " 33 3.2713560e+000 7.57e+000 5.54e+005 -1.7 3.50e+001 - 7.06e-003 4.92e-004h 1\n", + " 34 3.1338693e+000 3.99e+000 4.64e+005 -1.7 3.06e+002 - 1.22e-004 9.56e-002h 1\n", + " 35 3.1335676e+000 3.89e+000 4.55e+005 -1.7 6.09e+001 - 2.86e-002 2.32e-002h 1\n", + " 36 3.1335214e+000 3.89e+000 4.55e+005 -1.7 6.01e+001 - 4.94e-004 3.26e-004h 1\n", + " 37 3.1335183e+000 3.89e+000 4.76e+005 -1.7 4.48e+001 - 5.28e-002 6.27e-005h 1\n", + " 38 3.1241874e+000 3.74e+000 4.43e+005 -1.7 5.23e+001 - 1.60e-004 3.83e-002f 1\n", + " 39 3.1171869e+000 3.55e+000 4.16e+005 -1.7 4.84e+001 - 3.90e-002 5.14e-002f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 3.1151200e+000 3.38e+000 3.77e+005 -1.7 4.54e+001 - 5.65e-004 4.92e-002h 1\n", + " 41 3.1151686e+000 3.38e+000 3.78e+005 -1.7 4.23e+001 - 3.53e-003 4.13e-004h 1\n", + " 42 3.1154084e+000 3.15e+000 3.28e+005 -1.7 4.45e+001 - 2.27e-004 6.71e-002f 1\n", + " 43 3.1155587e+000 3.15e+000 3.32e+005 -1.7 4.14e+001 - 1.13e-002 4.63e-004h 1\n", + " 44 3.1167299e+000 3.12e+000 3.26e+005 -1.7 4.37e+001 - 4.19e-005 8.91e-003h 1\n", + " 45 3.1215632e+000 3.05e+000 3.27e+005 -1.7 4.35e+001 - 4.96e-002 2.54e-002f 1\n", + " 46 3.1220781e+000 3.04e+000 3.26e+005 -1.7 4.41e+001 - 6.82e-005 1.62e-003h 1\n", + " 47 3.1288284e+000 2.98e+000 3.15e+005 -1.7 4.42e+001 - 1.02e-002 2.09e-002f 1\n", + " 48 3.1399760e+000 2.89e+000 2.93e+005 -1.7 4.64e+001 - 1.14e-004 3.23e-002f 1\n", + " 49 3.1401932e+000 2.89e+000 2.93e+005 -1.7 5.09e+001 - 7.52e-004 3.18e-004h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 3.1487231e+000 2.84e+000 2.81e+005 -1.7 5.06e+001 - 5.58e-004 1.93e-002f 1\n", + " 51 3.1489225e+000 2.83e+000 2.81e+005 -1.7 5.54e+001 - 7.21e-004 2.82e-004h 1\n", + " 52 3.1573389e+000 2.80e+000 2.75e+005 -1.7 5.50e+001 - 5.16e-003 1.31e-002f 1\n", + " 53 3.1707023e+000 2.74e+000 2.61e+005 -1.7 5.78e+001 - 1.59e-004 2.25e-002f 1\n", + " 54 3.1715876e+000 2.74e+000 2.60e+005 -1.7 6.38e+001 - 1.14e-003 1.30e-003h 1\n", + " 55 3.1802329e+000 2.71e+000 2.53e+005 -1.7 6.32e+001 - 4.01e-003 1.37e-002f 1\n", + " 56 3.1895650e+000 2.68e+000 2.54e+005 -1.7 6.82e+001 - 2.39e-002 1.21e-002f 1\n", + " 57 3.1914476e+000 2.67e+000 2.53e+005 -1.7 6.84e+001 - 8.69e-004 2.81e-003h 1\n", + " 58 3.2055746e+000 2.63e+000 2.44e+005 -1.7 6.96e+001 - 7.23e-003 1.96e-002f 1\n", + " 59 3.2058102e+000 2.63e+000 2.44e+005 -1.7 8.39e+001 - 1.44e-003 2.15e-004h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 3.2174999e+000 2.58e+000 2.32e+005 -1.7 6.77e+001 - 5.37e-004 2.05e-002f 1\n", + " 61 3.2177165e+000 2.58e+000 2.33e+005 -1.7 7.99e+001 - 1.92e-003 2.46e-004h 1\n", + " 62 3.2318343e+000 2.54e+000 2.36e+005 -1.7 7.45e+001 - 4.31e-002 1.91e-002f 1\n", + " 63 3.2320440e+000 2.54e+000 2.37e+005 -1.7 9.03e+001 - 2.93e-003 2.01e-004h 1\n", + " 64 3.2606037e+000 2.46e+000 2.13e+005 -1.7 7.38e+001 - 1.53e-004 4.35e-002f 1\n", + " 65 3.2611656e+000 2.46e+000 2.16e+005 -1.7 1.13e+002 - 1.09e-002 4.56e-004h 1\n", + " 66 3.2892835e+000 2.39e+000 1.92e+005 -1.7 8.25e+001 - 9.69e-005 4.37e-002f 1\n", + " 67 3.2898347e+000 2.38e+000 1.93e+005 -1.7 1.22e+002 - 3.86e-003 5.56e-004h 1\n", + " 68 3.3218210e+000 2.32e+000 1.75e+005 -1.7 1.10e+002 - 6.16e-003 3.84e-002f 1\n", + " 69 3.3922188e+000 2.04e+000 6.58e+004 -1.7 7.35e+001 - 4.35e-004 4.10e-001h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 3.4493028e+000 2.03e+000 6.62e+004 -1.7 6.28e+002 - 3.15e-004 2.43e-003f 1\n", + " 71 3.4499691e+000 2.03e+000 6.52e+004 -1.7 6.07e+002 - 4.27e-003 2.53e-005h 1\n", + " 72 4.0787075e+000 1.50e+000 8.45e+004 -1.7 1.33e+002 - 2.05e-001 3.93e-001H 1\n", + " 73 4.2275282e+000 1.40e+000 6.95e+004 -1.7 5.28e+000 -1.2 4.86e-001 6.24e-002h 1\n", + " 74 4.3150405e+000 1.35e+000 5.45e+004 -1.7 1.62e+002 - 1.10e-003 3.82e-002h 1\n", + " 75 4.6039256e+000 1.20e+000 3.54e+005 -1.7 2.98e+001 -1.7 1.00e+000 1.13e-001h 1\n", + " 76 5.1023120e+000 9.80e-001 2.41e+005 -1.7 4.42e+001 - 1.24e-002 1.78e-001h 1\n", + " 77 5.1959724e+000 9.48e-001 4.30e+005 -1.7 4.30e+000 -1.3 6.01e-001 3.24e-002h 1\n", + " 78 1.0205454e+001 2.11e-001 2.63e+005 -1.7 2.83e+001 - 8.94e-002 9.89e-001H 1\n", + " 79 1.0641258e+001 1.43e-002 6.48e+005 -1.7 6.71e+000 -1.7 3.07e-001 9.10e-001h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 9.9053759e+000 1.41e-002 6.94e+005 -1.7 6.90e+000 -2.2 7.04e-002 1.00e+000f 1\n", + " 81 9.0481510e+000 3.86e-002 2.57e+005 -1.7 2.28e+001 -2.7 6.32e-001 1.00e+000f 1\n", + " 82 6.8695692e+000 8.43e-002 1.62e+005 -1.7 1.20e+001 -2.3 3.70e-001 1.00e+000f 1\n", + " 83 4.9135344e+000 1.26e-001 4.96e+004 -1.7 2.61e+000 -1.8 6.93e-001 1.00e+000f 1\n", + " 84 3.3176443e+000 2.91e-001 1.59e+004 -1.7 5.18e+000 -2.3 6.79e-001 1.00e+000f 1\n", + " 85 7.0764337e-001 1.99e+002 1.47e+004 -1.7 3.21e+002 -2.8 7.98e-002 1.00e+000f 1\n", + " 86 1.6164858e+000 5.02e+001 2.50e+001 -1.7 1.49e+002 - 1.00e+000 1.00e+000h 1\n", + " 87 2.3671166e+000 1.31e+001 6.69e+000 -1.7 7.72e+001 - 1.00e+000 1.00e+000h 1\n", + " 88 2.6628977e+000 8.11e+000 1.11e+001 -1.7 5.83e+001 - 8.81e-002 4.02e-001h 1\n", + " 89 3.1543854e+000 2.97e+001 1.28e+001 -1.7 4.63e+001 - 5.33e-002 8.42e-001h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 2.4677809e+000 7.78e+000 7.95e+000 -1.7 5.16e+001 - 2.10e-002 8.17e-001h 1\n", + " 91 1.1019642e+000 2.28e+001 9.86e+000 -1.7 3.84e+001 - 2.40e-001 1.00e+000f 1\n", + " 92 5.0737316e-001 2.22e+001 2.91e+001 -1.7 3.95e+001 - 1.00e+000 4.43e-001h 1\n", + " 93 4.0587600e-001 1.82e+001 2.31e+001 -1.7 2.21e+001 - 1.00e+000 1.82e-001h 1\n", + " 94 2.4201589e-001 3.80e+000 7.77e+000 -1.7 1.82e+001 - 1.00e+000 1.00e+000h 1\n", + " 95 8.6749139e-001 7.43e-001 5.29e+000 -1.7 3.69e+000 - 4.13e-001 1.00e+000h 1\n", + " 96 2.0694723e-001 1.22e-001 9.01e+000 -1.7 1.03e+000 - 1.41e-001 1.00e+000h 1\n", + " 97 1.2151856e-002 1.33e-001 6.41e+005 -2.5 7.32e-001 - 6.27e-001 1.00e+000h 1\n", + " 98 1.0517863e-002 2.10e-003 9.55e-004 -2.5 1.17e-001 - 1.00e+000 1.00e+000h 1\n", + " 99 4.3023769e-004 1.31e-002 8.05e+003 -3.8 3.96e-001 - 9.70e-001 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 2.9477653e-005 7.36e-004 1.33e-003 -3.8 1.07e-001 - 1.00e+000 1.00e+000h 1\n", + " 101 1.2003375e-006 6.52e-005 7.43e-005 -5.7 3.02e-002 - 1.00e+000 1.00e+000h 1\n", + " 102 1.1912249e-006 1.26e-008 2.88e-008 -5.7 4.56e-004 - 1.00e+000 1.00e+000h 1\n", + " 103 1.1862889e-006 1.14e-008 1.25e-008 -8.6 3.94e-004 - 1.00e+000 1.00e+000h 1\n", + " 104 1.1862894e-006 1.22e-014 1.59e-014 -9.0 4.16e-007 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 104\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.1862894024317902e-006 1.1862894024317902e-006\n", + "Dual infeasibility......: 1.5938798298139044e-014 1.5938798298139044e-014\n", + "Constraint violation....: 1.2212453270876722e-014 1.2212453270876722e-014\n", + "Complementarity.........: 9.0909169535204519e-010 9.0909169535204519e-010\n", + "Overall NLP error.......: 9.0909169535204519e-010 9.0909169535204519e-010\n", + "\n", + "\n", + "Number of objective function evaluations = 142\n", + "Number of objective gradient evaluations = 105\n", + "Number of equality constraint evaluations = 142\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 105\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 104\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.157\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\bk1= 5.00350934848808\n", + "k2= 0.9999977260457735\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.dae import ContinuousSet, DerivativeVar\n", + "\n", + "a_conc = {0.1:0.606, 0.2:0.368, 0.3:0.223, 0.4:0.135, 0.5:0.082,\n", + " 0.6:0.05, 0.7:0.03, 0.8:0.018, 0.9:0.011, 1.0:0.007}\n", + "\n", + "b_conc = {0.1:0.373, 0.2:0.564, 0.3:0.647, 0.4:0.669, 0.5:0.656,\n", + " 0.6:0.624, 0.7:0.583, 0.8:0.539, 0.9:0.494, 1.0:0.451}\n", + "\n", + "m = pyo.ConcreteModel()\n", + "\n", + "m.meas_time = pyo.Set(initialize=sorted(a_conc.keys()),ordered=True)\n", + "m.ameas = pyo.Param(m.meas_time, initialize=a_conc)\n", + "m.bmeas = pyo.Param(m.meas_time, initialize=b_conc)\n", + "\n", + "m.time = ContinuousSet(initialize=m.meas_time, bounds=(0,1))\n", + "\n", + "m.a = pyo.Var(m.time, bounds=(0,1))\n", + "m.b = pyo.Var(m.time, bounds=(0,1))\n", + "\n", + "m.dadt = DerivativeVar(m.a)\n", + "m.dbdt = DerivativeVar(m.b)\n", + "\n", + "m.k1 = pyo.Var()\n", + "m.k2 = pyo.Var()\n", + "\n", + "def _a_diffeq(m,t):\n", + " return m.dadt[t] == -m.k1*m.a[t]\n", + "m.a_diffeq = pyo.Constraint(m.time, rule=_a_diffeq)\n", + "\n", + "def _b_diffeq(m,t):\n", + " return m.dbdt[t] == m.k1*m.a[t] - m.k2*m.b[t]\n", + "m.b_diffeq = pyo.Constraint(m.time, rule=_b_diffeq)\n", + "\n", + "m.ainit = pyo.Constraint(expr=m.a[0]==1)\n", + "m.binit = pyo.Constraint(expr=m.b[0]==0)\n", + "\n", + "def _obj(m):\n", + " return sum((m.a[t]-m.ameas[t])**2+(m.b[t]-m.bmeas[t])**2 for t in m.meas_time)\n", + "m.obj = pyo.Objective(rule=_obj)\n", + "\n", + "discretizer = pyo.TransformationFactory('dae.collocation')\n", + "discretizer.apply_to(m,nfe=10,ncp=3,scheme='LAGRANGE-RADAU')\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(m, tee=True)\n", + "\n", + "print('k1= '+str(pyo.value(m.k1)))\n", + "print('k2= '+str(pyo.value(m.k2)))\n", + "\n", + "meas_time = list(m.meas_time)\n", + "a_meas = [pyo.value(m.ameas[i]) for i in m.meas_time]\n", + "b_meas = [pyo.value(m.bmeas[i]) for i in m.meas_time]\n", + "\n", + "t = list(m.time)\n", + "a = [pyo.value(m.a[i]) for i in m.time]\n", + "b = [pyo.value(m.b[i]) for i in m.time]\n", + " \n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.plot(t,a,label='A')\n", + "plt.plot(t,b,label='B')\n", + "plt.plot(meas_time,a_meas,'o')\n", + "plt.plot(meas_time,b_meas,'o')\n", + "plt.legend(loc='best')\n", + "plt.xlabel('t')\n", + "plt.ylabel('concentration')\n", + "plt.title('Kinetic Parameter Estimation')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 550\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 82\n", + "\n", + "Total number of variables............................: 126\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 62\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 124\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 3.6615861e+000 9.90e-001 5.94e-002 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 3.6629897e+000 9.88e-001 7.45e-001 -1.7 1.87e+002 - 1.01e-002 2.51e-003h 4\n", + " 2 3.6603131e+000 9.75e-001 1.30e+000 -1.7 1.72e+002 - 1.69e-002 1.30e-002f 2\n", + " 3 3.6608441e+000 9.74e-001 1.33e+001 -1.7 2.68e+002 - 5.93e-002 3.38e-004h 6\n", + " 4 3.5037068e+000 8.92e-001 1.43e+001 -1.7 1.09e+002 - 4.56e-002 8.43e-002f 1\n", + " 5 3.4924703e+000 8.73e-001 3.43e+002 -1.7 1.49e+002 - 5.89e-001 2.12e-002h 3\n", + " 6 3.3768345e+000 7.61e-001 6.01e+002 -1.7 8.52e+001 - 7.87e-002 1.29e-001h 2\n", + " 7 3.3421277e+000 7.11e-001 6.56e+002 -1.7 6.92e+001 - 4.48e-001 6.53e-002H 1\n", + " 8 3.3131009e+000 6.49e-001 7.61e+002 -1.7 9.22e+001 - 3.90e-002 8.81e-002h 3\n", + " 9 3.2866091e+000 5.80e-001 7.80e+002 -1.7 1.21e+002 - 2.37e-001 1.06e-001h 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 3.0889266e+000 7.63e-001 1.80e+002 -1.7 6.41e+001 - 5.95e-001 9.90e-001H 1\n", + " 11 3.1019027e+000 2.49e-001 2.25e+002 -1.7 2.44e+001 - 3.31e-001 9.90e-001h 1\n", + " 12 2.6900557e+000 1.11e+001 2.08e+004 -1.7 8.92e+001 - 3.72e-001 9.90e-001h 1\n", + " 13 2.5940881e+000 1.04e+001 2.15e+004 -1.7 2.48e+002 - 3.77e-002 3.89e-002h 1\n", + " 14 2.5828123e+000 1.03e+001 1.94e+004 -1.7 7.45e+001 -2.0 7.81e-003 6.23e-003h 1\n", + " 15 2.6632291e+000 1.26e+001 3.37e+005 -1.7 1.21e+002 - 9.94e-003 2.69e-001f 1\n", + " 16 2.7587278e+000 1.19e+001 3.93e+005 -1.7 3.75e+001 -0.7 9.59e-003 6.72e-002h 1\n", + " 17 2.7634022e+000 1.19e+001 3.32e+005 -1.7 4.07e+001 -1.1 4.56e-002 1.84e-003h 1\n", + " 18 2.9029379e+000 1.15e+001 2.76e+005 -1.7 1.45e+002 -1.6 5.70e-002 2.07e-002h 1\n", + " 19 2.9064212e+000 1.15e+001 1.94e+005 -1.7 1.46e+001 - 3.65e-001 1.98e-003h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 2.9777819e+000 1.09e+001 2.62e+005 -1.7 9.65e+000 - 1.39e-001 5.63e-002h 1\n", + " 21 2.9781801e+000 1.08e+001 2.63e+005 -1.7 8.00e+000 - 2.31e-003 3.28e-004h 2\n", + " 22 3.0173374e+000 1.05e+001 2.25e+005 -1.7 6.47e+000 - 4.77e-004 3.45e-002f 2\n", + " 23 3.0623458e+000 1.01e+001 4.69e+005 -1.7 6.66e+000 - 3.29e-001 3.84e-002h 3\n", + " 24 3.0978406e+000 9.78e+000 4.85e+005 -1.7 6.78e+000 - 7.44e-002 2.96e-002h 3\n", + " 25 3.1115858e+000 9.67e+000 6.90e+005 -1.7 6.84e+000 - 3.48e-001 1.13e-002h 4\n", + " 26 3.2162760e+000 8.90e+000 6.63e+005 -1.7 6.85e+000 - 1.40e-001 8.01e-002h 1\n", + " 27 3.2173913e+000 8.89e+000 6.66e+005 -1.7 7.20e+000 - 8.13e-003 8.57e-004h 1\n", + " 28 3.2202040e+000 8.83e+000 6.59e+005 -1.7 3.29e+001 - 5.29e-005 6.29e-003f 1\n", + " 29 3.2628294e+000 8.10e+000 5.89e+005 -1.7 3.17e+001 - 4.70e-002 8.35e-002h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 3.2633851e+000 8.09e+000 5.96e+005 -1.7 2.40e+001 - 1.97e-002 7.38e-004h 1\n", + " 31 3.2630525e+000 8.08e+000 5.94e+005 -1.7 4.97e+001 - 1.43e-005 1.45e-003f 1\n", + " 32 3.2712218e+000 7.58e+000 5.52e+005 -1.7 4.12e+001 - 4.76e-002 6.18e-002f 1\n", + " 33 3.2713560e+000 7.57e+000 5.54e+005 -1.7 3.50e+001 - 7.06e-003 4.92e-004h 1\n", + " 34 3.1338693e+000 3.99e+000 4.64e+005 -1.7 3.06e+002 - 1.22e-004 9.56e-002h 1\n", + " 35 3.1335676e+000 3.89e+000 4.55e+005 -1.7 6.09e+001 - 2.86e-002 2.32e-002h 1\n", + " 36 3.1335214e+000 3.89e+000 4.55e+005 -1.7 6.01e+001 - 4.94e-004 3.26e-004h 1\n", + " 37 3.1335183e+000 3.89e+000 4.76e+005 -1.7 4.48e+001 - 5.28e-002 6.27e-005h 1\n", + " 38 3.1241874e+000 3.74e+000 4.43e+005 -1.7 5.23e+001 - 1.60e-004 3.83e-002f 1\n", + " 39 3.1171869e+000 3.55e+000 4.16e+005 -1.7 4.84e+001 - 3.90e-002 5.14e-002f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 3.1151200e+000 3.38e+000 3.77e+005 -1.7 4.54e+001 - 5.65e-004 4.92e-002h 1\n", + " 41 3.1151686e+000 3.38e+000 3.78e+005 -1.7 4.23e+001 - 3.53e-003 4.13e-004h 1\n", + " 42 3.1154084e+000 3.15e+000 3.28e+005 -1.7 4.45e+001 - 2.27e-004 6.71e-002f 1\n", + " 43 3.1155587e+000 3.15e+000 3.32e+005 -1.7 4.14e+001 - 1.13e-002 4.63e-004h 1\n", + " 44 3.1167299e+000 3.12e+000 3.26e+005 -1.7 4.37e+001 - 4.19e-005 8.91e-003h 1\n", + " 45 3.1215632e+000 3.05e+000 3.27e+005 -1.7 4.35e+001 - 4.96e-002 2.54e-002f 1\n", + " 46 3.1220781e+000 3.04e+000 3.26e+005 -1.7 4.41e+001 - 6.82e-005 1.62e-003h 1\n", + " 47 3.1288284e+000 2.98e+000 3.15e+005 -1.7 4.42e+001 - 1.02e-002 2.09e-002f 1\n", + " 48 3.1399760e+000 2.89e+000 2.93e+005 -1.7 4.64e+001 - 1.14e-004 3.23e-002f 1\n", + " 49 3.1401932e+000 2.89e+000 2.93e+005 -1.7 5.09e+001 - 7.52e-004 3.18e-004h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 3.1487231e+000 2.84e+000 2.81e+005 -1.7 5.06e+001 - 5.58e-004 1.93e-002f 1\n", + " 51 3.1489225e+000 2.83e+000 2.81e+005 -1.7 5.54e+001 - 7.21e-004 2.82e-004h 1\n", + " 52 3.1573389e+000 2.80e+000 2.75e+005 -1.7 5.50e+001 - 5.16e-003 1.31e-002f 1\n", + " 53 3.1707023e+000 2.74e+000 2.61e+005 -1.7 5.78e+001 - 1.59e-004 2.25e-002f 1\n", + " 54 3.1715876e+000 2.74e+000 2.60e+005 -1.7 6.38e+001 - 1.14e-003 1.30e-003h 1\n", + " 55 3.1802329e+000 2.71e+000 2.53e+005 -1.7 6.32e+001 - 4.01e-003 1.37e-002f 1\n", + " 56 3.1895650e+000 2.68e+000 2.54e+005 -1.7 6.82e+001 - 2.39e-002 1.21e-002f 1\n", + " 57 3.1914476e+000 2.67e+000 2.53e+005 -1.7 6.84e+001 - 8.69e-004 2.81e-003h 1\n", + " 58 3.2055746e+000 2.63e+000 2.44e+005 -1.7 6.96e+001 - 7.23e-003 1.96e-002f 1\n", + " 59 3.2058102e+000 2.63e+000 2.44e+005 -1.7 8.39e+001 - 1.44e-003 2.15e-004h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 3.2174999e+000 2.58e+000 2.32e+005 -1.7 6.77e+001 - 5.37e-004 2.05e-002f 1\n", + " 61 3.2177165e+000 2.58e+000 2.33e+005 -1.7 7.99e+001 - 1.92e-003 2.46e-004h 1\n", + " 62 3.2318343e+000 2.54e+000 2.36e+005 -1.7 7.45e+001 - 4.31e-002 1.91e-002f 1\n", + " 63 3.2320440e+000 2.54e+000 2.37e+005 -1.7 9.03e+001 - 2.93e-003 2.01e-004h 1\n", + " 64 3.2606037e+000 2.46e+000 2.13e+005 -1.7 7.38e+001 - 1.53e-004 4.35e-002f 1\n", + " 65 3.2611656e+000 2.46e+000 2.16e+005 -1.7 1.13e+002 - 1.09e-002 4.56e-004h 1\n", + " 66 3.2892835e+000 2.39e+000 1.92e+005 -1.7 8.25e+001 - 9.69e-005 4.37e-002f 1\n", + " 67 3.2898347e+000 2.38e+000 1.93e+005 -1.7 1.22e+002 - 3.86e-003 5.56e-004h 1\n", + " 68 3.3218210e+000 2.32e+000 1.75e+005 -1.7 1.10e+002 - 6.16e-003 3.84e-002f 1\n", + " 69 3.3922188e+000 2.04e+000 6.58e+004 -1.7 7.35e+001 - 4.35e-004 4.10e-001h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 3.4493028e+000 2.03e+000 6.62e+004 -1.7 6.28e+002 - 3.15e-004 2.43e-003f 1\n", + " 71 3.4499691e+000 2.03e+000 6.52e+004 -1.7 6.07e+002 - 4.27e-003 2.53e-005h 1\n", + " 72 4.0787075e+000 1.50e+000 8.45e+004 -1.7 1.33e+002 - 2.05e-001 3.93e-001H 1\n", + " 73 4.2275282e+000 1.40e+000 6.95e+004 -1.7 5.28e+000 -1.2 4.86e-001 6.24e-002h 1\n", + " 74 4.3150405e+000 1.35e+000 5.45e+004 -1.7 1.62e+002 - 1.10e-003 3.82e-002h 1\n", + " 75 4.6039256e+000 1.20e+000 3.54e+005 -1.7 2.98e+001 -1.7 1.00e+000 1.13e-001h 1\n", + " 76 5.1023120e+000 9.80e-001 2.41e+005 -1.7 4.42e+001 - 1.24e-002 1.78e-001h 1\n", + " 77 5.1959724e+000 9.48e-001 4.30e+005 -1.7 4.30e+000 -1.3 6.01e-001 3.24e-002h 1\n", + " 78 1.0205454e+001 2.11e-001 2.63e+005 -1.7 2.83e+001 - 8.94e-002 9.89e-001H 1\n", + " 79 1.0641258e+001 1.43e-002 6.48e+005 -1.7 6.71e+000 -1.7 3.07e-001 9.10e-001h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 9.9053759e+000 1.41e-002 6.94e+005 -1.7 6.90e+000 -2.2 7.04e-002 1.00e+000f 1\n", + " 81 9.0481510e+000 3.86e-002 2.57e+005 -1.7 2.28e+001 -2.7 6.32e-001 1.00e+000f 1\n", + " 82 6.8695692e+000 8.43e-002 1.62e+005 -1.7 1.20e+001 -2.3 3.70e-001 1.00e+000f 1\n", + " 83 4.9135344e+000 1.26e-001 4.96e+004 -1.7 2.61e+000 -1.8 6.93e-001 1.00e+000f 1\n", + " 84 3.3176443e+000 2.91e-001 1.59e+004 -1.7 5.18e+000 -2.3 6.79e-001 1.00e+000f 1\n", + " 85 7.0764337e-001 1.99e+002 1.47e+004 -1.7 3.21e+002 -2.8 7.98e-002 1.00e+000f 1\n", + " 86 1.6164858e+000 5.02e+001 2.50e+001 -1.7 1.49e+002 - 1.00e+000 1.00e+000h 1\n", + " 87 2.3671166e+000 1.31e+001 6.69e+000 -1.7 7.72e+001 - 1.00e+000 1.00e+000h 1\n", + " 88 2.6628977e+000 8.11e+000 1.11e+001 -1.7 5.83e+001 - 8.81e-002 4.02e-001h 1\n", + " 89 3.1543854e+000 2.97e+001 1.28e+001 -1.7 4.63e+001 - 5.33e-002 8.42e-001h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 2.4677809e+000 7.78e+000 7.95e+000 -1.7 5.16e+001 - 2.10e-002 8.17e-001h 1\n", + " 91 1.1019642e+000 2.28e+001 9.86e+000 -1.7 3.84e+001 - 2.40e-001 1.00e+000f 1\n", + " 92 5.0737316e-001 2.22e+001 2.91e+001 -1.7 3.95e+001 - 1.00e+000 4.43e-001h 1\n", + " 93 4.0587600e-001 1.82e+001 2.31e+001 -1.7 2.21e+001 - 1.00e+000 1.82e-001h 1\n", + " 94 2.4201589e-001 3.80e+000 7.77e+000 -1.7 1.82e+001 - 1.00e+000 1.00e+000h 1\n", + " 95 8.6749139e-001 7.43e-001 5.29e+000 -1.7 3.69e+000 - 4.13e-001 1.00e+000h 1\n", + " 96 2.0694723e-001 1.22e-001 9.01e+000 -1.7 1.03e+000 - 1.41e-001 1.00e+000h 1\n", + " 97 1.2151856e-002 1.33e-001 6.41e+005 -2.5 7.32e-001 - 6.27e-001 1.00e+000h 1\n", + " 98 1.0517863e-002 2.10e-003 9.55e-004 -2.5 1.17e-001 - 1.00e+000 1.00e+000h 1\n", + " 99 4.3023769e-004 1.31e-002 8.05e+003 -3.8 3.96e-001 - 9.70e-001 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 2.9477653e-005 7.36e-004 1.33e-003 -3.8 1.07e-001 - 1.00e+000 1.00e+000h 1\n", + " 101 1.2003375e-006 6.52e-005 7.43e-005 -5.7 3.02e-002 - 1.00e+000 1.00e+000h 1\n", + " 102 1.1912249e-006 1.26e-008 2.88e-008 -5.7 4.56e-004 - 1.00e+000 1.00e+000h 1\n", + " 103 1.1862889e-006 1.14e-008 1.25e-008 -8.6 3.94e-004 - 1.00e+000 1.00e+000h 1\n", + " 104 1.1862894e-006 1.22e-014 1.59e-014 -9.0 4.16e-007 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 104\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.1862894024317902e-006 1.1862894024317902e-006\n", + "Dual infeasibility......: 1.5938798298139044e-014 1.5938798298139044e-014\n", + "Constraint violation....: 1.2212453270876722e-014 1.2212453270876722e-014\n", + "Complementarity.........: 9.0909169535204519e-010 9.0909169535204519e-010\n", + "Overall NLP error.......: 9.0909169535204519e-010 9.0909169535204519e-010\n", + "\n", + "\n", + "Number of objective function evaluations = 142\n", + "Number of objective gradient evaluations = 105\n", + "Number of equality constraint evaluations = 142\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 105\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 104\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.396\n", + "Total CPU secs in NLP function evaluations = 0.006\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\bk1= 5.00350934848808\n", + "k2= 0.9999977260457735\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.dae import ContinuousSet, DerivativeVar\n", + "\n", + "a_conc = {0.1:0.606, 0.2:0.368, 0.3:0.223, 0.4:0.135, 0.5:0.082,\n", + " 0.6:0.05, 0.7:0.03, 0.8:0.018, 0.9:0.011, 1.0:0.007}\n", + "\n", + "b_conc = {0.1:0.373, 0.2:0.564, 0.3:0.647, 0.4:0.669, 0.5:0.656,\n", + " 0.6:0.624, 0.7:0.583, 0.8:0.539, 0.9:0.494, 1.0:0.451}\n", + "\n", + "m = pyo.ConcreteModel()\n", + "\n", + "m.meas_time = pyo.Set(initialize=sorted(a_conc.keys()),ordered=True)\n", + "m.ameas = pyo.Param(m.meas_time, initialize=a_conc)\n", + "m.bmeas = pyo.Param(m.meas_time, initialize=b_conc)\n", + "\n", + "m.time = ContinuousSet(initialize=m.meas_time, bounds=(0,1))\n", + "\n", + "m.a = pyo.Var(m.time, bounds=(0,1))\n", + "m.b = pyo.Var(m.time, bounds=(0,1))\n", + "\n", + "m.dadt = DerivativeVar(m.a)\n", + "m.dbdt = DerivativeVar(m.b)\n", + "\n", + "m.k1 = pyo.Var()\n", + "m.k2 = pyo.Var()\n", + "\n", + "def _a_diffeq(m,t):\n", + " return m.dadt[t] == -m.k1*m.a[t]\n", + "m.a_diffeq = pyo.Constraint(m.time, rule=_a_diffeq)\n", + "\n", + "def _b_diffeq(m,t):\n", + " return m.dbdt[t] == m.k1*m.a[t] - m.k2*m.b[t]\n", + "m.b_diffeq = pyo.Constraint(m.time, rule=_b_diffeq)\n", + "\n", + "m.ainit = pyo.Constraint(expr=m.a[0]==1)\n", + "m.binit = pyo.Constraint(expr=m.b[0]==0)\n", + "\n", + "def _obj(m):\n", + " return sum((m.a[t]-m.ameas[t])**2+(m.b[t]-m.bmeas[t])**2 for t in m.meas_time)\n", + "m.obj = pyo.Objective(rule=_obj)\n", + "\n", + "discretizer = pyo.TransformationFactory('dae.collocation')\n", + "discretizer.apply_to(m,nfe=10,ncp=3,scheme='LAGRANGE-RADAU')\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(m, tee=True)\n", + "\n", + "print('k1= '+str(pyo.value(m.k1)))\n", + "print('k2= '+str(pyo.value(m.k2)))\n", + "\n", + "meas_time = list(m.meas_time)\n", + "a_meas = [pyo.value(m.ameas[i]) for i in m.meas_time]\n", + "b_meas = [pyo.value(m.bmeas[i]) for i in m.meas_time]\n", + "\n", + "t = list(m.time)\n", + "a = [pyo.value(m.a[i]) for i in m.time]\n", + "b = [pyo.value(m.b[i]) for i in m.time]\n", + " \n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.plot(t,a,label='A')\n", + "plt.plot(t,b,label='B')\n", + "plt.plot(meas_time,a_meas,'o')\n", + "plt.plot(meas_time,b_meas,'o')\n", + "plt.legend(loc='best')\n", + "plt.xlabel('t')\n", + "plt.ylabel('concentration')\n", + "plt.title('Kinetic Parameter Estimation')\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Dynamic Exercises/small_colloc.ipynb b/_build/html/_sources/Material/Dynamic Exercises/small_colloc.ipynb new file mode 100644 index 00000000..91124f89 --- /dev/null +++ b/_build/html/_sources/Material/Dynamic Exercises/small_colloc.ipynb @@ -0,0 +1,203 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Small collocation example" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 76\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 8\n", + "\n", + "Total number of variables............................: 24\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 24\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 1.0000000e+000 3.00e+000 0.00e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 1.0000000e+000 2.29e+000 0.00e+000 -1.0 7.00e+000 - 1.00e+000 1.00e+000H 1\n", + " 2 1.0000000e+000 1.92e-001 0.00e+000 -1.0 1.53e+000 - 1.00e+000 1.00e+000h 1\n", + " 3 1.0000000e+000 2.37e-003 0.00e+000 -2.5 1.02e-001 - 1.00e+000 1.00e+000h 1\n", + " 4 1.0000000e+000 5.51e-007 0.00e+000 -3.8 1.37e-003 - 1.00e+000 1.00e+000h 1\n", + " 5 1.0000000e+000 7.66e-015 0.00e+000 -8.6 4.11e-007 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 5\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.0000000000000000e+000 1.0000000000000000e+000\n", + "Dual infeasibility......: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Constraint violation....: 7.6605388699135801e-015 7.6605388699135801e-015\n", + "Complementarity.........: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Overall NLP error.......: 7.6605388699135801e-015 7.6605388699135801e-015\n", + "\n", + "\n", + "Number of objective function evaluations = 7\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 7\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 6\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 5\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "numcollocation = 4\n", + "numfinelems = 2\n", + "\n", + "model = m = pyo.ConcreteModel()\n", + "m.colloc = pyo.RangeSet(0,numcollocation-1)\n", + "m.fe = pyo.RangeSet(0,numfinelems-1)\n", + "m.h = pyo.Param(initialize=1.0/numfinelems)\n", + "\n", + "m.z = pyo.Var(m.fe,m.colloc)\n", + "m.dzdt = pyo.Var(m.fe,m.colloc)\n", + "m.time = pyo.Var(m.fe,m.colloc)\n", + "\n", + "# Collocation matrix for Radau points [0, 0.155051, 0.644949, 1]\n", + "adot=[\n", + "[-9.000001008080126, -4.1393887736243791, 1.7393879671602779, -3.0000002520200333],\n", + "[10.048810106494384, 3.2247461916839306, -3.5678400771209411, 5.5319724150606273],\n", + "[-1.3821424037453669, 1.1678398419022438, 0.77525464838285485, -7.5319723310539404],\n", + "[0.33333330533110994, -0.25319725996179565, 1.0531974615778044, 5.000000168013341],\n", + "]\n", + "\n", + "m.obj = pyo.Objective(expr=1) # Dummy Objective\n", + "\n", + "def _zdot(m, i, j):\n", + " return m.dzdt[i,j] == m.z[i,j]**2 - 2*m.z[i,j] +1\n", + "m.zdot = pyo.Constraint(m.fe,m.colloc,rule=_zdot)\n", + "\n", + "# Collocation Equations\n", + "def _colloc_eq(m,i,j):\n", + " if j == 0:\n", + " return pyo.Constraint.Skip\n", + " return m.h*(m.dzdt[i,j]) == sum(m.z[i,k]*adot[k][j] for k in range(0,numcollocation))\n", + "m.colloc_eq = pyo.Constraint(m.fe,m.colloc,rule=_colloc_eq)\n", + "\n", + "def _colloc_eq_t(m,i,j):\n", + " if j == 0:\n", + " return pyo.Constraint.Skip\n", + " return m.h == sum(m.time[i,k]*adot[k][j] for k in range(0,numcollocation))\n", + "m.colloc_eq_t = pyo.Constraint(m.fe,m.colloc,rule=_colloc_eq_t)\n", + "\n", + "\n", + "# Continuity Equations\n", + "def _cont_z(m,i):\n", + " if i == 0:\n", + " return pyo.Constraint.Skip\n", + " return m.z[i,0] == m.z[i-1,numcollocation-1]\n", + "m.cont_z = pyo.Constraint(m.fe,rule=_cont_z)\n", + "\n", + "def _cont_t(m,i):\n", + " if i == 0:\n", + " return pyo.Constraint.Skip\n", + " return m.time[i,0] == m.time[i-1,numcollocation-1]\n", + "m.cont_t = pyo.Constraint(m.fe,rule=_cont_t)\n", + "\n", + "# Initial Conditions\n", + "def _init_con(m):\n", + " return m.z[0,0] == -3\n", + "m.init_con = pyo.Constraint(rule=_init_con)\n", + "\n", + "def _init_con_t(m):\n", + " return m.time[0,0] == 0\n", + "m.init_con_t = pyo.Constraint(rule=_init_con_t)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(m,tee=True)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "analytical_t = [0.01*i for i in range(0,101)]\n", + "analytical_z = [(4*t-3)/(4*t+1) for t in analytical_t]\n", + "\n", + "findiff_t = []\n", + "findiff_z = []\n", + "\n", + "for i in range(0,numfinelems):\n", + " for j in range(0,numcollocation):\n", + " if i != 0 and j == 0:\n", + " continue\n", + " findiff_t.append(pyo.value(m.time[i,j]))\n", + " findiff_z.append(pyo.value(m.z[i,j]))\n", + "\n", + "plt.plot(analytical_t,analytical_z,'b',label='analytical solution')\n", + "plt.plot(findiff_t,findiff_z,'ro--',label='collocation solution')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"t\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Dynamic Exercises/small_dae.ipynb b/_build/html/_sources/Material/Dynamic Exercises/small_dae.ipynb new file mode 100644 index 00000000..a8ea02cc --- /dev/null +++ b/_build/html/_sources/Material/Dynamic Exercises/small_dae.ipynb @@ -0,0 +1,161 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Small Dae Example" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 45\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 7\n", + "\n", + "Total number of variables............................: 14\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 14\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 1.0000000e+000 3.00e+000 0.00e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 1.0000000e+000 2.29e+000 0.00e+000 -1.0 7.00e+000 - 1.00e+000 1.00e+000H 1\n", + " 2 1.0000000e+000 1.92e-001 0.00e+000 -1.0 1.53e+000 - 1.00e+000 1.00e+000h 1\n", + " 3 1.0000000e+000 2.37e-003 0.00e+000 -2.5 1.02e-001 - 1.00e+000 1.00e+000h 1\n", + " 4 1.0000000e+000 5.51e-007 0.00e+000 -3.8 1.37e-003 - 1.00e+000 1.00e+000h 1\n", + " 5 1.0000000e+000 7.55e-015 0.00e+000 -8.6 4.11e-007 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 5\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.0000000000000000e+000 1.0000000000000000e+000\n", + "Dual infeasibility......: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Constraint violation....: 7.5495165674510645e-015 7.5495165674510645e-015\n", + "Complementarity.........: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Overall NLP error.......: 7.5495165674510645e-015 7.5495165674510645e-015\n", + "\n", + "\n", + "Number of objective function evaluations = 7\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 7\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 6\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 5\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.dae import DerivativeVar, ContinuousSet\n", + "\n", + "model = m = pyo.ConcreteModel()\n", + "\n", + "m.t = ContinuousSet(bounds=(0,1))\n", + "\n", + "m.z = pyo.Var(m.t)\n", + "m.dzdt = DerivativeVar(m.z)\n", + "\n", + "m.obj = pyo.Objective(expr=1) # Dummy Objective\n", + "\n", + "def _zdot(m, i):\n", + " return m.dzdt[i] == m.z[i]**2 - 2*m.z[i] +1\n", + "m.zdot = pyo.Constraint(m.t,rule=_zdot)\n", + "\n", + "def _init_con(m):\n", + " return m.z[0] == -3\n", + "m.init_con = pyo.Constraint(rule=_init_con)\n", + "\n", + "# Discretize using backward finite difference\n", + "#discretizer = pyo.TransformationFactory('dae.finite_difference')\n", + "#discretizer.apply_to(m, nfe=50, scheme='BACKWARD')\n", + "\n", + "# Discretize using collocation\n", + "discretizer = pyo.TransformationFactory('dae.collocation')\n", + "discretizer.apply_to(m, nfe=2, ncp=3 , scheme='LAGRANGE-RADAU')\n", + "\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(m,tee=True)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "analytical_t = [0.01*i for i in range(0,101)]\n", + "analytical_z = [(4*t-3)/(4*t+1) for t in analytical_t]\n", + "\n", + "findiff_t = list(m.t)\n", + "findiff_z = [pyo.value(m.z[i]) for i in m.t]\n", + "\n", + "plt.plot(analytical_t,analytical_z,'b',label='analytical solution')\n", + "plt.plot(findiff_t,findiff_z,'ro--',label='pyomo.dae discretization solution')\n", + "plt.legend(loc='best')\n", + "plt.xlabel('t')\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Dynamic Exercises/small_findiff.ipynb b/_build/html/_sources/Material/Dynamic Exercises/small_findiff.ipynb new file mode 100644 index 00000000..a07529bd --- /dev/null +++ b/_build/html/_sources/Material/Dynamic Exercises/small_findiff.ipynb @@ -0,0 +1,157 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Small Find Diff example" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 23\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 5\n", + "\n", + "Total number of variables............................: 10\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 10\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 1.0000000e+000 3.00e+000 0.00e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 1.0000000e+000 1.74e+000 0.00e+000 -1.0 7.00e+000 - 1.00e+000 1.00e+000H 1\n", + " 2 1.0000000e+000 5.79e-002 0.00e+000 -1.0 8.14e-001 - 1.00e+000 1.00e+000h 1\n", + " 3 1.0000000e+000 1.47e-004 0.00e+000 -2.5 2.24e-002 - 1.00e+000 1.00e+000h 1\n", + " 4 1.0000000e+000 1.73e-009 0.00e+000 -5.7 6.47e-005 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 4\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.0000000000000000e+000 1.0000000000000000e+000\n", + "Dual infeasibility......: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Constraint violation....: 1.7255730178078466e-009 1.7255730178078466e-009\n", + "Complementarity.........: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Overall NLP error.......: 1.7255730178078466e-009 1.7255730178078466e-009\n", + "\n", + "\n", + "Number of objective function evaluations = 6\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 6\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 5\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "numpoints = 5\n", + "model = m = pyo.ConcreteModel()\n", + "m.points = pyo.RangeSet(0,numpoints-1)\n", + "m.h = pyo.Param(initialize=1.0/(numpoints-1))\n", + "\n", + "m.z = pyo.Var(m.points)\n", + "m.dzdt = pyo.Var(m.points)\n", + "\n", + "m.obj = pyo.Objective(expr=1) # Dummy Objective\n", + "\n", + "def _zdot(m, i):\n", + " return m.dzdt[i] == m.z[i]**2 - 2*m.z[i] +1\n", + "m.zdot = pyo.Constraint(m.points,rule=_zdot)\n", + "\n", + "def _back_diff(m,i):\n", + " if i == 0:\n", + " return pyo.Constraint.Skip\n", + " return m.dzdt[i] == (m.z[i]-m.z[i-1])/m.h\n", + "m.back_diff = pyo.Constraint(m.points,rule=_back_diff)\n", + "\n", + "def _init_con(m):\n", + " return m.z[0] == -3\n", + "m.init_con = pyo.Constraint(rule=_init_con)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(m,tee=True)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "analytical_t = [0.01*i for i in range(0,101)]\n", + "analytical_z = [(4*t-3)/(4*t+1) for t in analytical_t]\n", + "\n", + "findiff_t = [m.h*i for i in m.points]\n", + "findiff_z = [pyo.value(m.z[i]) for i in m.points]\n", + "\n", + "plt.plot(analytical_t,analytical_z,'b',label='analytical solution')\n", + "plt.plot(findiff_t,findiff_z,'ro--',label='finite difference solution')\n", + "plt.legend(loc='best')\n", + "plt.xlabel('t')\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/GDP Exercises.md b/_build/html/_sources/Material/GDP Exercises.md new file mode 100644 index 00000000..8fac3f25 --- /dev/null +++ b/_build/html/_sources/Material/GDP Exercises.md @@ -0,0 +1 @@ +# GDP Exercises diff --git a/_build/html/_sources/Material/GDP Exercises/strip_packing.ipynb b/_build/html/_sources/Material/GDP Exercises/strip_packing.ipynb new file mode 100644 index 00000000..d9984b36 --- /dev/null +++ b/_build/html/_sources/Material/GDP Exercises/strip_packing.ipynb @@ -0,0 +1,1151 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Strip Packing\n", + "\n", + "This model packs a set of rectangles without rotation or overlap within a strip of a given width, while minimizing the length of the strip.\n", + "\n", + "This is a Strip-packing example from http://minlp.org/library/lib.php?lib=GDP" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING: DEPRECATED: OrderedScalarSet OVERLAP_PAIRS: 'filter=' callback\n", + "signature matched (block, *value). Please update the callback to match the\n", + "signature (block, value). (deprecated in 6.8.0) (called from\n", + "c:\\Users\\bmurr\\CHE 498\\.venv\\Lib\\site-\n", + "packages\\pyomo\\core\\base\\disable_methods.py:124)\n", + "GLPSOL: GLPK LP/MIP Solver, v4.65\n", + "Parameter(s) specified in the command line:\n", + " --write C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmp5qory4jw.glpk.raw --wglp C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmps94uj_e5.glpk.glp\n", + " --cpxlp C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmp0vin1usm.pyomo.lp\n", + "Reading problem data from 'C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmp0vin1usm.pyomo.lp'...\n", + "C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmp0vin1usm.pyomo.lp:250: warning: lower bound of variable 'x12' redefined\n", + "C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmp0vin1usm.pyomo.lp:250: warning: upper bound of variable 'x12' redefined\n", + "34 rows, 33 columns, 104 non-zeros\n", + "24 integer variables, all of which are binary\n", + "274 lines were read\n", + "Writing problem data to 'C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmps94uj_e5.glpk.glp'...\n", + "218 lines were written\n", + "GLPK Integer Optimizer, v4.65\n", + "34 rows, 33 columns, 104 non-zeros\n", + "24 integer variables, all of which are binary\n", + "Preprocessing...\n", + "34 rows, 33 columns, 104 non-zeros\n", + "24 integer variables, all of which are binary\n", + "Scaling...\n", + " A: min|aij| = 1.000e+00 max|aij| = 3.000e+01 ratio = 3.000e+01\n", + "GM: min|aij| = 7.577e-01 max|aij| = 1.320e+00 ratio = 1.742e+00\n", + "EQ: min|aij| = 5.958e-01 max|aij| = 1.000e+00 ratio = 1.679e+00\n", + "2N: min|aij| = 5.000e-01 max|aij| = 1.000e+00 ratio = 2.000e+00\n", + "Constructing initial basis...\n", + "Size of triangular part is 34\n", + "Solving LP relaxation...\n", + "GLPK Simplex Optimizer, v4.65\n", + "34 rows, 33 columns, 104 non-zeros\n", + " 0: obj = 6.000000000e+00 inf = 4.750e+00 (7)\n", + " 8: obj = 8.000000000e+00 inf = 0.000e+00 (0)\n", + "OPTIMAL LP SOLUTION FOUND\n", + "Integer optimization begins...\n", + "Long-step dual simplex will be used\n", + "+ 8: mip = not found yet >= -inf (1; 0)\n", + "+ 23: >>>>> 1.100000000e+01 >= 8.000000000e+00 27.3% (6; 0)\n", + "+ 46: mip = 1.100000000e+01 >= tree is empty 0.0% (0; 15)\n", + "INTEGER OPTIMAL SOLUTION FOUND\n", + "Time used: 0.0 secs\n", + "Memory used: 0.1 Mb (95163 bytes)\n", + "Writing MIP solution to 'C:\\Users\\bmurr\\AppData\\Local\\Temp\\tmp5qory4jw.glpk.raw'...\n", + "76 lines were written\n", + "2 Set Declarations\n", + " OVERLAP_PAIRS : Size=1, Index=None, Ordered=Insertion\n", + " Key : Dimen : Domain : Size : Members\n", + " None : 2 : Any : 6 : {(0, 1), (0, 2), (0, 3), (1, 2), (1, 3), (2, 3)}\n", + " RECTANGLES : Size=1, Index=None, Ordered=Insertion\n", + " Key : Dimen : Domain : Size : Members\n", + " None : 1 : Any : 4 : {0, 1, 2, 3}\n", + "\n", + "4 Param Declarations\n", + " Length : Size=4, Index=RECTANGLES, Domain=Any, Default=None, Mutable=False\n", + " Key : Value\n", + " 0 : 6\n", + " 1 : 8\n", + " 2 : 5\n", + " 3 : 3\n", + " LengthUB : Size=1, Index=None, Domain=Any, Default=None, Mutable=False\n", + " Key : Value\n", + " None : 22\n", + " StripWidth : Width of the strip\n", + " Size=1, Index=None, Domain=Any, Default=None, Mutable=False\n", + " Key : Value\n", + " None : 10\n", + " Width : Size=4, Index=RECTANGLES, Domain=Any, Default=None, Mutable=False\n", + " Key : Value\n", + " 0 : 6\n", + " 1 : 3\n", + " 2 : 4\n", + " 3 : 2\n", + "\n", + "3 Var Declarations\n", + " MaxLength : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 11.0 : None : False : False : NonNegativeReals\n", + " x : rectangle corner x-position (position down length)\n", + " Size=4, Index=RECTANGLES\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 0.0 : 22.0 : False : False : Reals\n", + " 1 : 0 : 0.0 : 22.0 : False : False : Reals\n", + " 2 : 0 : 6.0 : 22.0 : False : False : Reals\n", + " 3 : 0 : 8.0 : 22.0 : False : False : Reals\n", + " y : rectangle corner y-position (position across width)\n", + " Size=4, Index=RECTANGLES\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 4.0 : 4 : False : False : Reals\n", + " 1 : 0 : 0.0 : 7 : False : False : Reals\n", + " 2 : 0 : 3.0 : 6 : False : False : Reals\n", + " 3 : 0 : 0.0 : 8 : False : False : Reals\n", + "\n", + "1 Objective Declarations\n", + " total_length : Size=1, Index=None, Active=True\n", + " Key : Active : Sense : Expression\n", + " None : True : minimize : MaxLength\n", + "\n", + "1 Constraint Declarations\n", + " strip_ends_after_last_rec : Size=4, Index=RECTANGLES, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 0 : -Inf : x[0] + 6 - MaxLength : 0.0 : True\n", + " 1 : -Inf : x[1] + 8 - MaxLength : 0.0 : True\n", + " 2 : -Inf : x[2] + 5 - MaxLength : 0.0 : True\n", + " 3 : -Inf : x[3] + 3 - MaxLength : 0.0 : True\n", + "\n", + "1 Block Declarations\n", + " _pyomo_gdp_bigm_reformulation : Size=1, Index=None, Active=True\n", + " 1 Constraint Declarations\n", + " noOverlap_xor : Size=6, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " (0, 1) : 1.0 : noOverlap_disjuncts[0].binary_indicator_var + noOverlap_disjuncts[1].binary_indicator_var + noOverlap_disjuncts[2].binary_indicator_var + noOverlap_disjuncts[3].binary_indicator_var : 1.0 : True\n", + " (0, 2) : 1.0 : noOverlap_disjuncts[4].binary_indicator_var + noOverlap_disjuncts[5].binary_indicator_var + noOverlap_disjuncts[6].binary_indicator_var + noOverlap_disjuncts[7].binary_indicator_var : 1.0 : True\n", + " (0, 3) : 1.0 : noOverlap_disjuncts[8].binary_indicator_var + noOverlap_disjuncts[9].binary_indicator_var + noOverlap_disjuncts[10].binary_indicator_var + noOverlap_disjuncts[11].binary_indicator_var : 1.0 : True\n", + " (1, 2) : 1.0 : noOverlap_disjuncts[12].binary_indicator_var + noOverlap_disjuncts[13].binary_indicator_var + noOverlap_disjuncts[14].binary_indicator_var + noOverlap_disjuncts[15].binary_indicator_var : 1.0 : True\n", + " (1, 3) : 1.0 : noOverlap_disjuncts[16].binary_indicator_var + noOverlap_disjuncts[17].binary_indicator_var + noOverlap_disjuncts[18].binary_indicator_var + noOverlap_disjuncts[19].binary_indicator_var : 1.0 : True\n", + " (2, 3) : 1.0 : noOverlap_disjuncts[20].binary_indicator_var + noOverlap_disjuncts[21].binary_indicator_var + noOverlap_disjuncts[22].binary_indicator_var + noOverlap_disjuncts[23].binary_indicator_var : 1.0 : True\n", + "\n", + " 1 Block Declarations\n", + " relaxedDisjuncts : Size=24, Index=NonNegativeIntegers, Active=True\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[0] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[0] + 6 - x[1] - 28.0*(1 - noOverlap_disjuncts[0].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[0].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[1] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[1] + 8 - x[0] - 30.0*(1 - noOverlap_disjuncts[1].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[1].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[2] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[0] + 6 - y[1] - 10.0*(1 - noOverlap_disjuncts[2].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[2].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[3] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[1] + 3 - y[0] - 10.0*(1 - noOverlap_disjuncts[3].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[3].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[4] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[0] + 6 - x[2] - 28.0*(1 - noOverlap_disjuncts[4].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[4].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[5] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[2] + 5 - x[0] - 27.0*(1 - noOverlap_disjuncts[5].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[5].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[6] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[0] + 6 - y[2] - 10.0*(1 - noOverlap_disjuncts[6].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[6].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[7] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[2] + 4 - y[0] - 10.0*(1 - noOverlap_disjuncts[7].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[7].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[8] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[0] + 6 - x[3] - 28.0*(1 - noOverlap_disjuncts[8].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[8].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[9] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[3] + 3 - x[0] - 25.0*(1 - noOverlap_disjuncts[9].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[9].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[10] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[0] + 6 - y[3] - 10.0*(1 - noOverlap_disjuncts[10].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[10].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[11] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[3] + 2 - y[0] - 10.0*(1 - noOverlap_disjuncts[11].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[11].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[12] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[1] + 8 - x[2] - 30.0*(1 - noOverlap_disjuncts[12].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[12].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[13] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[2] + 5 - x[1] - 27.0*(1 - noOverlap_disjuncts[13].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[13].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[14] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[1] + 3 - y[2] - 10.0*(1 - noOverlap_disjuncts[14].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[14].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[15] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[2] + 4 - y[1] - 10.0*(1 - noOverlap_disjuncts[15].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[15].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[16] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[1] + 8 - x[3] - 30.0*(1 - noOverlap_disjuncts[16].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[16].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[17] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[3] + 3 - x[1] - 25.0*(1 - noOverlap_disjuncts[17].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[17].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[18] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[1] + 3 - y[3] - 10.0*(1 - noOverlap_disjuncts[18].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[18].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[19] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[3] + 2 - y[1] - 10.0*(1 - noOverlap_disjuncts[19].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[19].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[20] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[2] + 5 - x[3] - 27.0*(1 - noOverlap_disjuncts[20].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[20].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[21] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : x[3] + 3 - x[2] - 25.0*(1 - noOverlap_disjuncts[21].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[21].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[22] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[2] + 4 - y[3] - 10.0*(1 - noOverlap_disjuncts[22].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[22].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + " _pyomo_gdp_bigm_reformulation.relaxedDisjuncts[23] : Active=True\n", + " 1 Constraint Declarations\n", + " transformedConstraints : Size=1, Index=Any, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " ('constraint[1]_0', 1, 'ub') : -Inf : y[3] + 2 - y[2] - 10.0*(1 - noOverlap_disjuncts[23].binary_indicator_var) : 0.0 : True\n", + "\n", + " 1 Block Declarations\n", + " localVarReferences : Size=1, Index=None, Active=True\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=UnindexedComponent_ReferenceSet, ReferenceTo=noOverlap_disjuncts[23].binary_indicator_var\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Declarations: binary_indicator_var\n", + "\n", + " 2 Declarations: transformedConstraints localVarReferences\n", + "\n", + " 2 Declarations: relaxedDisjuncts noOverlap_xor\n", + "\n", + "1 Disjunct Declarations\n", + " noOverlap_disjuncts : Size=24, Index=Any, Active=False\n", + " noOverlap_disjuncts[0] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[0] + 6 - x[1] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[1] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[1] + 8 - x[0] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[2] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[0] + 6 - y[1] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[3] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[1] + 3 - y[0] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : True : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[4] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[0] + 6 - x[2] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : True : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[5] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[2] + 5 - x[0] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[6] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[0] + 6 - y[2] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[7] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[2] + 4 - y[0] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[8] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[0] + 6 - x[3] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[9] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[3] + 3 - x[0] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[10] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[0] + 6 - y[3] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[11] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[3] + 2 - y[0] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : True : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[12] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[1] + 8 - x[2] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[13] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[2] + 5 - x[1] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[14] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[1] + 3 - y[2] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : True : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[15] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[2] + 4 - y[1] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[16] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[1] + 8 - x[3] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : True : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[17] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[3] + 3 - x[1] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[18] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[1] + 3 - y[3] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[19] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[3] + 2 - y[1] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[20] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[2] + 5 - x[3] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[21] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : x[3] + 3 - x[2] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[22] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[2] + 4 - y[3] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : False : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + " noOverlap_disjuncts[23] : Active=False\n", + " 1 Var Declarations\n", + " binary_indicator_var : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.0 : 1 : False : False : Binary\n", + "\n", + " 1 Constraint Declarations\n", + " constraint : Size=1, Index={1}, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " 1 : -Inf : y[3] + 2 - y[2] : 0.0 : False\n", + "\n", + " 1 BooleanVar Declarations\n", + " indicator_var : Size=1, Index=None\n", + " Key : Value : Fixed : Stale\n", + " None : True : False : False\n", + "\n", + " 1 LogicalConstraint Declarations\n", + " propositions : Size=0, Index={}, Active=False\n", + " Key : Body : Active\n", + "\n", + " 4 Declarations: indicator_var binary_indicator_var constraint propositions\n", + "\n", + "1 Disjunction Declarations\n", + " noOverlap : Size=6, Index=OVERLAP_PAIRS, Active=False\n", + " Key : Disjuncts : Active : XOR\n", + " (0, 1) : ['noOverlap_disjuncts[0]', 'noOverlap_disjuncts[1]', 'noOverlap_disjuncts[2]', 'noOverlap_disjuncts[3]'] : False : True\n", + " (0, 2) : ['noOverlap_disjuncts[4]', 'noOverlap_disjuncts[5]', 'noOverlap_disjuncts[6]', 'noOverlap_disjuncts[7]'] : False : True\n", + " (0, 3) : ['noOverlap_disjuncts[8]', 'noOverlap_disjuncts[9]', 'noOverlap_disjuncts[10]', 'noOverlap_disjuncts[11]'] : False : True\n", + " (1, 2) : ['noOverlap_disjuncts[12]', 'noOverlap_disjuncts[13]', 'noOverlap_disjuncts[14]', 'noOverlap_disjuncts[15]'] : False : True\n", + " (1, 3) : ['noOverlap_disjuncts[16]', 'noOverlap_disjuncts[17]', 'noOverlap_disjuncts[18]', 'noOverlap_disjuncts[19]'] : False : True\n", + " (2, 3) : ['noOverlap_disjuncts[20]', 'noOverlap_disjuncts[21]', 'noOverlap_disjuncts[22]', 'noOverlap_disjuncts[23]'] : False : True\n", + "\n", + "14 Declarations: RECTANGLES Width Length StripWidth LengthUB x y MaxLength OVERLAP_PAIRS strip_ends_after_last_rec total_length noOverlap noOverlap_disjuncts _pyomo_gdp_bigm_reformulation\n", + "Rectangle 0: (0.0, 4.0)\n", + "Rectangle 1: (0.0, 0.0)\n", + "Rectangle 2: (6.0, 3.0)\n", + "Rectangle 3: (8.0, 0.0)\n", + "total_length : Size=1, Index=None, Active=True\n", + " Key : Active : Value\n", + " None : True : 11.0\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.gdp import Disjunct, Disjunction\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.RECTANGLES = pyo.Set(ordered=True, initialize=[0,1,2,3])\n", + "\n", + "# Width and Lenght of each rectangle\n", + "model.Width = pyo.Param(model.RECTANGLES, initialize={0:6, 1:3, 2:4, 3:2})\n", + "model.Length = pyo.Param(model.RECTANGLES, initialize={0:6, 1:8, 2:5, 3:3})\n", + "\n", + "model.StripWidth = pyo.Param(initialize=10, doc=\"Width of the strip\" )\n", + "\n", + "# upperbound on length (default is sum of lengths of rectangles)\n", + "model.LengthUB = pyo.Param(initialize=sum(model.Length[i] for i in\n", + " model.RECTANGLES))\n", + "\n", + "# x (length) and y (width) coordinates of each of the rectangles\n", + "model.x = pyo.Var(model.RECTANGLES, bounds=(0, model.LengthUB),\n", + " doc=\"rectangle corner x-position (position down length)\")\n", + "def y_bounds(m, i):\n", + " return (0, m.StripWidth-m.Width[i])\n", + "model.y = pyo.Var(model.RECTANGLES,\n", + " bounds=y_bounds,\n", + " doc=\"rectangle corner y-position (position across width)\")\n", + "\n", + "# length of strip (this will be the objective)\n", + "model.MaxLength = pyo.Var(within=pyo.NonNegativeReals)\n", + "\n", + "# generate the list of possible rectangle conflicts (which are any pair)\n", + "def rec_pairs_filter(model, i, j):\n", + " return i < j\n", + "model.OVERLAP_PAIRS = pyo.Set(initialize=model.RECTANGLES * model.RECTANGLES,\n", + " dimen=2, filter=rec_pairs_filter)\n", + "\n", + "# strip length constraint\n", + "@model.Constraint(model.RECTANGLES)\n", + "def strip_ends_after_last_rec(model, i):\n", + " return model.MaxLength >= model.x[i] + model.Length[i]\n", + "\n", + "# minimize length\n", + "model.total_length = pyo.Objective(expr=model.MaxLength)\n", + "\n", + "#\n", + "# Insert the no-overlap disjunctions here!\n", + "#\n", + "@model.Disjunction(model.OVERLAP_PAIRS)\n", + "def noOverlap(m,i,j):\n", + " return [\n", + " m.x[i] + m.Length[i] <= m.x[j],\n", + " m.x[j] + m.Length[j] <= m.x[i],\n", + " m.y[i] + m.Width[i] <= m.y[j],\n", + " m.y[j] + m.Width[j] <= m.y[i],\n", + " ]\n", + "#\n", + "# Transform the model using the BigM relaxation\n", + "#\n", + "pyo.TransformationFactory('gdp.bigm').apply_to(model)\n", + "\n", + "#\n", + "# Solve and print the solution\n", + "#\n", + "pyo.SolverFactory('glpk').solve(model, tee=True)\n", + "model.pprint()\n", + "for i in model.RECTANGLES:\n", + " print(\"Rectangle %s: (%s, %s)\" % (i, pyo.value(model.x[i]), pyo.value(model.y[i])))\n", + "model.total_length.display()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Nonlinear Exercises.md b/_build/html/_sources/Material/Nonlinear Exercises.md new file mode 100644 index 00000000..aa526260 --- /dev/null +++ b/_build/html/_sources/Material/Nonlinear Exercises.md @@ -0,0 +1 @@ +# Nonlinear Exercises \ No newline at end of file diff --git a/_build/html/_sources/Material/Nonlinear Exercises/1.1 Alternative Initialization.ipynb b/_build/html/_sources/Material/Nonlinear Exercises/1.1 Alternative Initialization.ipynb new file mode 100644 index 00000000..7625b71a --- /dev/null +++ b/_build/html/_sources/Material/Nonlinear Exercises/1.1 Alternative Initialization.ipynb @@ -0,0 +1,79 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1.1 Alternative Initialization: \n", + "Effective initialization can be critical for solving nonlinear problems, since they can have several local solutions\n", + "and numerical difficulties. Below we solve the Rosenbrock example using different initial values for the x variables. We write a loop that varies the initial value from 2.0 to 6.0, solves the problem, and prints the solution for each iteration of the loop." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x_init, y_init, x_soln, y_soln\n", + " 2.00 5.00 1.00 1.00\n", + " 3.00 5.00 1.00 1.00\n", + " 4.00 5.00 1.00 1.00\n", + " 5.00 5.00 1.00 1.00\n" + ] + } + ], + "source": [ + "# rosenbrock_script_loop.py: A Pyomo model for the Rosenbrock problem\n", + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var()\n", + "model.y = pyo.Var()\n", + "\n", + "def rosenbrock(m):\n", + " return (1.0-m.x)**2 + 100.0*(m.y - m.x**2)**2\n", + "model.obj = pyo.Objective(rule=rosenbrock, sense=pyo.minimize)\n", + "\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "\n", + "print('x_init, y_init, x_soln, y_soln')\n", + "y_init = 5.0\n", + "for x_init in range(2, 6):\n", + " model.x = x_init\n", + " model.y = 5.0\n", + "\n", + " solver.solve(model)\n", + "\n", + " print(\"{0:6.2f} {1:6.2f} {2:6.2f} {3:6.2f}\".format(x_init, \\\n", + " y_init, pyo.value(model.x), pyo.value(model.y)))\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Nonlinear Exercises/1.2 Evaluation errors.ipynb b/_build/html/_sources/Material/Nonlinear Exercises/1.2 Evaluation errors.ipynb new file mode 100644 index 00000000..ae9ec35a --- /dev/null +++ b/_build/html/_sources/Material/Nonlinear Exercises/1.2 Evaluation errors.ipynb @@ -0,0 +1,348 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.2 Evaluation errors: \n", + "Consider the following problem with initial values $x=5, y=5$.\n", + "\n", + "$$\\begin{aligned}\n", + "min_{x,y} f(x,y) &= (x - 1.01)^{2} + y^{2}\\\\\n", + "s.t. \\;\\;\\; y &= \\sqrt{x - 1.0}\n", + "\\end{aligned}$$\n", + "\n", + "(a) Below we formulate this Pyomo model and solve using Ipopt. We then get a list of\n", + "errors from the solver. What did you discover? How might you fix this? (Hint: error output might be ordered strangely, look up in the console output.)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 2\n", + "\n", + "Total number of variables............................: 2\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 4.0920100e+001 3.00e+000 9.86e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + "Error evaluating constraint 1: can't evaluate sqrt(-0.752432).\n", + "ERROR: Solver (ipopt) returned non-zero return code (1)\n", + "ERROR: See the solver log above for diagnostic information.\n" + ] + }, + { + "ename": "ApplicationError", + "evalue": "Solver (ipopt) did not exit normally", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mApplicationError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[3], line 18\u001b[0m\n\u001b[0;32m 16\u001b[0m solver \u001b[38;5;241m=\u001b[39m pyo\u001b[38;5;241m.\u001b[39mSolverFactory(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mipopt\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 17\u001b[0m solver\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhalt_on_ampl_error\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124myes\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m---> 18\u001b[0m \u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 20\u001b[0m \u001b[38;5;28mprint\u001b[39m(pyo\u001b[38;5;241m.\u001b[39mvalue(model\u001b[38;5;241m.\u001b[39mx))\n\u001b[0;32m 21\u001b[0m \u001b[38;5;28mprint\u001b[39m(pyo\u001b[38;5;241m.\u001b[39mvalue(model\u001b[38;5;241m.\u001b[39my))\n", + "File \u001b[1;32mc:\\Users\\bmurr\\CHE 498\\.venv\\Lib\\site-packages\\pyomo\\opt\\base\\solvers.py:628\u001b[0m, in \u001b[0;36mOptSolver.solve\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 626\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(_status, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlog\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m _status\u001b[38;5;241m.\u001b[39mlog:\n\u001b[0;32m 627\u001b[0m logger\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSolver log:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mstr\u001b[39m(_status\u001b[38;5;241m.\u001b[39mlog))\n\u001b[1;32m--> 628\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ApplicationError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSolver (\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m) did not exit normally\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m 629\u001b[0m solve_completion_time \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[0;32m 630\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_report_timing:\n", + "\u001b[1;31mApplicationError\u001b[0m: Solver (ipopt) did not exit normally" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.x = pyo.Var(initialize=5.0)\n", + "model.y = pyo.Var(initialize=5.0)\n", + "\n", + "def obj_rule(m):\n", + " return (m.x-1.01)**2 + m.y**2\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "def con_rule(m):\n", + " return m.y == pyo.sqrt(m.x - 1.0)\n", + "model.con = pyo.Constraint(rule=con_rule)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.options['halt_on_ampl_error'] = 'yes'\n", + "solver.solve(model, tee=True)\n", + "\n", + "print(pyo.value(model.x))\n", + "print(pyo.value(model.y))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "(b) Add bounds $x\\geq 1$ to fix this problem. Resolve the problem. Comment on the number of iterations and the quality of solution.\n", + "(Note: The problem still occurs because $x \\geq 1$ is not enforced exactly, and small numerical values still cause the error.)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 2\n", + "\n", + "Total number of variables............................: 2\n", + " variables with only lower bounds: 1\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 4.0920100e+001 3.00e+000 8.92e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 1.3964766e+000 9.81e-001 4.57e+000 -1.0 4.20e+000 - 1.00e+000 9.43e-001f 1\n", + " 2 1.3265288e+000 4.58e-001 9.56e+000 -1.0 3.54e-001 2.0 1.31e-001 1.00e+000f 1\n", + " 3 3.2528786e-001 1.23e-002 1.25e+000 -1.0 5.70e-001 - 1.00e+000 1.00e+000f 1\n", + " 4 4.9701812e-003 7.82e-002 1.36e-001 -1.0 3.78e-001 - 1.00e+000 1.00e+000F 1\n", + " 5 6.0628408e-003 4.53e-002 1.66e+000 -2.5 2.08e-002 - 1.00e+000 1.00e+000h 1\n", + " 6 6.7063949e-003 4.53e-002 2.24e+000 -2.5 1.05e+000 - 1.53e-002 3.91e-003h 9\n", + " 7 7.6973110e-003 1.67e-002 5.10e-001 -2.5 6.16e-003 1.5 1.00e+000 1.00e+000h 1\n", + " 8 3.5855462e-003 1.09e-003 2.51e-001 -2.5 2.81e-002 - 1.00e+000 1.00e+000h 1\n", + " 9 3.0456986e-003 1.24e-004 1.10e-003 -2.5 4.78e-003 - 1.00e+000 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 9.2960387e-004 1.58e-002 1.21e+000 -3.8 2.59e-002 - 1.00e+000 1.00e+000h 1\n", + " 11 2.2722219e-004 1.18e-004 1.42e-001 -3.8 1.75e-002 - 1.00e+000 1.00e+000h 1\n", + " 12 2.4804811e-004 4.21e-005 4.38e-003 -3.8 8.99e-004 - 1.00e+000 1.00e+000h 1\n", + " 13 2.5041988e-004 8.02e-007 1.04e-004 -3.8 9.89e-005 - 1.00e+000 1.00e+000h 1\n", + " 14 1.3928326e-004 4.89e-003 3.54e+000 -5.7 6.12e-003 - 1.00e+000 1.00e+000h 1\n", + " 15 1.6721345e-004 3.66e-003 4.16e+000 -5.7 1.95e-003 1.0 1.01e-001 1.00e+000h 1\n", + " 16 1.7756299e-004 1.12e-003 2.28e+000 -5.7 6.51e-004 1.5 1.00e+000 1.00e+000h 1\n", + " 17 1.5169810e-004 1.68e-005 1.58e-001 -5.7 1.61e-003 1.0 1.00e+000 1.00e+000h 1\n", + "Error evaluating constraint 1: can't evaluate sqrt(-9.90312e-09).\n", + "ERROR: Solver (ipopt) returned non-zero return code (1)\n", + "ERROR: See the solver log above for diagnostic information.\n" + ] + }, + { + "ename": "ApplicationError", + "evalue": "Solver (ipopt) did not exit normally", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mApplicationError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[1], line 18\u001b[0m\n\u001b[0;32m 16\u001b[0m solver \u001b[38;5;241m=\u001b[39m pyo\u001b[38;5;241m.\u001b[39mSolverFactory(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mipopt\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 17\u001b[0m solver\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhalt_on_ampl_error\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124myes\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m---> 18\u001b[0m \u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 20\u001b[0m \u001b[38;5;28mprint\u001b[39m(pyo\u001b[38;5;241m.\u001b[39mvalue(model\u001b[38;5;241m.\u001b[39mx))\n\u001b[0;32m 21\u001b[0m \u001b[38;5;28mprint\u001b[39m(pyo\u001b[38;5;241m.\u001b[39mvalue(model\u001b[38;5;241m.\u001b[39my))\n", + "File \u001b[1;32mc:\\Users\\bmurr\\CHE 498\\.venv\\Lib\\site-packages\\pyomo\\opt\\base\\solvers.py:628\u001b[0m, in \u001b[0;36mOptSolver.solve\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 626\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(_status, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlog\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m _status\u001b[38;5;241m.\u001b[39mlog:\n\u001b[0;32m 627\u001b[0m logger\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSolver log:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mstr\u001b[39m(_status\u001b[38;5;241m.\u001b[39mlog))\n\u001b[1;32m--> 628\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ApplicationError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSolver (\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m) did not exit normally\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m 629\u001b[0m solve_completion_time \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[0;32m 630\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_report_timing:\n", + "\u001b[1;31mApplicationError\u001b[0m: Solver (ipopt) did not exit normally" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.x = pyo.Var(initialize=5.0, bounds=(1,None))\n", + "model.y = pyo.Var(initialize=5.0)\n", + "\n", + "def obj_rule(m):\n", + " return (m.x-1.01)**2 + m.y**2\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "def con_rule(m):\n", + " return m.y == pyo.sqrt(m.x - 1.0)\n", + "model.con = pyo.Constraint(rule=con_rule)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.options['halt_on_ampl_error'] = 'yes'\n", + "solver.solve(model, tee=True)\n", + "\n", + "print(pyo.value(model.x))\n", + "print(pyo.value(model.y))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "(c) Think about other solutions for this problem. (e.g., $x \\geq 1.001$)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 2\n", + "\n", + "Total number of variables............................: 2\n", + " variables with only lower bounds: 1\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 4.0920100e+001 3.00e+000 8.92e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 1.3985928e+000 9.80e-001 4.51e+000 -1.0 4.20e+000 - 1.00e+000 9.43e-001f 1\n", + " 2 1.3200328e+000 4.52e-001 1.00e+001 -1.0 3.56e-001 2.0 1.31e-001 1.00e+000f 1\n", + " 3 3.3527706e-001 1.13e-002 1.27e+000 -1.0 5.60e-001 - 1.00e+000 1.00e+000f 1\n", + " 4 4.9066403e-003 4.74e-002 2.52e-002 -1.0 3.83e-001 - 1.00e+000 1.00e+000F 1\n", + " 5 4.4928608e-003 2.36e-002 7.26e-001 -2.5 1.19e-002 - 1.00e+000 1.00e+000h 1\n", + " 6 5.9528153e-003 7.95e-003 5.53e-001 -2.5 1.04e-002 - 1.00e+000 1.00e+000h 1\n", + " 7 3.2290130e-003 1.43e-003 4.99e-003 -2.5 2.06e-002 - 1.00e+000 1.00e+000h 1\n", + " 8 1.5403307e-003 3.85e-003 1.04e-001 -3.8 1.82e-002 - 1.00e+000 1.00e+000h 1\n", + " 9 1.2315611e-003 2.80e-006 1.34e-003 -3.8 4.28e-003 - 1.00e+000 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 1.0880355e-003 7.80e-005 2.46e-003 -5.7 2.23e-003 - 1.00e+000 1.00e+000h 1\n", + " 11 1.0828351e-003 2.74e-010 3.15e-007 -5.7 8.21e-005 - 1.00e+000 1.00e+000h 1\n", + " 12 1.0809936e-003 1.39e-008 4.39e-007 -8.6 2.96e-005 - 1.00e+000 1.00e+000h 1\n", + " 13 1.0809927e-003 1.34e-015 6.88e-014 -8.6 1.40e-008 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 13\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.0809926760836025e-003 1.0809926760836025e-003\n", + "Dual infeasibility......: 6.8833827526759706e-014 6.8833827526759706e-014\n", + "Constraint violation....: 1.3392065234540951e-015 1.3392065234540951e-015\n", + "Complementarity.........: 2.5059036424968433e-009 2.5059036424968433e-009\n", + "Overall NLP error.......: 2.5059036424968433e-009 2.5059036424968433e-009\n", + "\n", + "\n", + "Number of objective function evaluations = 15\n", + "Number of objective gradient evaluations = 14\n", + "Number of equality constraint evaluations = 15\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 14\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 13\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "1.001\n", + "0.0316226586775465\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.x = pyo.Var(initialize=5.0, bounds=(1.001,None))\n", + "model.y = pyo.Var(initialize=5.0)\n", + "\n", + "def obj_rule(m):\n", + " return (m.x-1.01)**2 + m.y**2\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "def con_rule(m):\n", + " return m.y == pyo.sqrt(m.x - 1.0)\n", + "model.con = pyo.Constraint(rule=con_rule)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.options['halt_on_ampl_error'] = 'yes'\n", + "solver.solve(model, tee=True)\n", + "\n", + "print(pyo.value(model.x))\n", + "print(pyo.value(model.y))\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb b/_build/html/_sources/Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb new file mode 100644 index 00000000..624d81bd --- /dev/null +++ b/_build/html/_sources/Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb @@ -0,0 +1,590 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.3 Alternative Formulations: \n", + "Consider the following problem with ini-\n", + "tial values x=5, y=5.\n", + "\n", + "$$min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}$$\n", + "$$s.t \\;\\;\\;\\; \\frac{x-1}{y} = 1$$\n", + "\n", + "Note that the solution to this problem is $x=1.005$ and $y=0.005$. There\n", + "are several ways that the problem above can be reformulated. Some examples are shown below. Which ones do you expect to be better? Why? Note the number of iterations and quality of solutions. What can you learn\n", + "about problem formulation from these examples?\n", + "\n", + "(a) \n", + "\n", + "$$min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}$$\n", + "$$s.t \\;\\;\\;\\; \\frac{x-1}{y} = 1$$" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 3\n", + "\n", + "Total number of variables............................: 2\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 4.0920100e+001 2.00e-001 9.99e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 5.9762286e-001 2.27e+000 1.52e+001 -1.0 5.48e+000 - 1.00e+000 1.00e+000f 1\n", + " 2 1.9787064e-001 2.97e+000 2.40e+001 -1.0 8.02e+000 - 1.00e+000 1.25e-001f 4\n", + " 3 6.5241867e+001 2.82e+000 2.98e+001 -1.0 6.68e+000 - 1.00e+000 1.00e+000h 1\n", + " 4 9.5583161e+001 1.54e+000 2.31e+001 -1.0 4.70e+000 - 1.00e+000 1.00e+000h 1\n", + " 5 1.8959813e+002 4.39e-001 2.77e+001 -1.0 1.14e+001 - 1.00e+000 1.00e+000h 1\n", + " 6 2.2666991e+001 2.02e+000 1.24e+001 -1.0 1.54e+001 - 1.00e+000 1.00e+000f 1\n", + " 7 3.7976779e+001 9.23e-001 1.21e+001 -1.0 3.88e+000 - 1.00e+000 1.00e+000h 1\n", + " 8 2.0620942e+001 6.84e-002 1.64e+001 -1.0 5.65e+000 - 1.00e+000 5.00e-001f 2\n", + " 9 9.8180623e-002 8.02e-001 1.24e+002 -1.0 3.63e+000 - 1.00e+000 1.00e+000f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 2.3622224e+003 7.97e-001 1.42e+002 -1.0 4.73e+001 - 1.00e+000 1.00e+000h 1\n", + " 11 3.6759509e+003 1.64e-001 2.37e+002 -1.0 3.63e+001 - 1.00e+000 1.00e+000h 1\n", + " 12 7.0378669e+001 6.52e-001 5.20e+002 -1.0 4.32e+001 - 1.00e+000 1.00e+000f 1\n", + " 13 2.5142436e+004 6.17e-001 5.94e+002 -1.0 1.40e+002 - 1.00e+000 1.00e+000h 1\n", + " 14 2.6505724e+004 3.06e-001 1.02e+003 -1.7 7.26e+001 - 1.00e+000 1.00e+000h 1\n", + " 15 3.7335004e+003 2.99e-001 5.43e+002 -1.7 9.42e+001 - 1.00e+000 1.00e+000f 1\n", + " 16 3.5127061e+003 7.10e-002 3.16e+002 -1.7 9.60e+000 - 1.00e+000 1.00e+000f 1\n", + " 17 3.2134630e+001 4.96e-001 1.50e+003 -1.7 4.08e+001 - 1.00e+000 1.00e+000f 1\n", + " 18 1.0915648e+005 4.88e-001 1.76e+003 -1.7 2.89e+002 - 1.00e+000 1.00e+000h 1\n", + " 19 1.1667899e+005 1.53e-001 1.76e+003 -1.7 1.07e+002 - 1.00e+000 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 3.7449172e+003 4.78e-001 3.37e+003 -1.7 2.30e+002 - 1.00e+000 1.00e+000f 1\n", + " 21 4.9463570e+005 4.36e-001 3.65e+003 -1.7 5.58e+002 - 1.00e+000 1.00e+000h 1\n", + " 22 3.6988313e+005 2.75e-001 5.13e+003 -1.7 2.37e+002 - 1.00e+000 1.00e+000f 1\n", + " 23 8.9309627e+004 1.73e-001 1.92e+003 -1.7 2.88e+002 - 1.00e+000 1.00e+000f 1\n", + " 24 4.0590995e+004 3.57e-002 4.55e+002 -1.7 1.71e+002 - 1.00e+000 5.00e-001f 2\n", + " 25 1.8907970e+001 5.44e+000 1.24e+005 -1.7 1.46e+002 - 1.00e+000 1.00e+000f 1\n", + " 26 1.4670968e+001 5.44e+000 1.24e+005 -1.7 1.63e+004 - 1.00e+000 4.88e-004f 12\n", + " 27 2.3540992e+001 5.44e+000 1.24e+005 -1.7 1.63e+004 - 1.00e+000 6.10e-005h 15\n", + " 28 2.8758563e+001 5.44e+000 1.24e+005 -1.7 1.63e+004 - 1.00e+000 3.05e-005h 16\n", + " 29 3.1562971e+001 5.44e+000 1.24e+005 -1.7 1.63e+004 - 1.00e+000 1.53e-005h 17\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 2.8032208e+008 5.44e+000 1.32e+005 -1.7 1.63e+004 - 1.00e+000 1.00e+000s 22\n", + " 31 2.9975467e+008 2.93e+000 7.23e+004 -1.7 4.29e+003 - 1.00e+000 1.00e+000s 22\n", + " 32 5.0495436e+008 1.67e+000 5.58e+004 -1.7 1.07e+004 - 1.00e+000 1.00e+000s 22\n", + " 33r5.0495436e+008 1.67e+000 9.99e+002 0.2 0.00e+000 - 0.00e+000 0.00e+000R 1\n", + " 34r5.1181880e+008 1.63e+000 3.35e-003 0.2 5.20e+002 - 1.00e+000 1.00e+000f 1\n", + " 35r5.1039583e+008 1.63e+000 4.77e-002 -1.9 4.51e+001 - 9.96e-001 9.97e-001h 1\n", + " 36r4.9195690e+008 1.35e+000 4.46e-002 -4.2 4.64e+003 - 1.00e+000 1.00e+000f 1\n", + " 37r4.9179264e+008 1.33e+000 4.40e-002 -4.2 4.40e+002 -4.0 1.00e+000 1.00e+000h 1\n", + " 38r4.8990727e+008 1.27e+000 4.25e-002 -4.2 1.27e+003 -4.5 1.00e+000 1.00e+000f 1\n", + " 39r4.7382990e+008 1.10e+000 3.97e-002 -4.2 3.57e+003 -5.0 1.00e+000 1.00e+000f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r3.7628486e+008 4.51e-001 4.52e-002 -4.2 1.15e+004 -5.4 1.00e+000 1.00e+000f 1\n", + " 41 1.0535429e+008 1.06e-001 2.99e+004 -1.7 2.02e+004 - 1.00e+000 5.00e-001f 2\n", + " 42 5.0568867e+005 9.22e-001 1.26e+005 -2.5 7.56e+003 - 1.00e+000 1.00e+000f 1\n", + " 43 3.3347854e+009 9.11e-001 1.34e+005 -2.5 5.68e+004 - 1.00e+000 1.00e+000h 1\n", + " 44 5.8840295e+009 1.09e-001 2.61e+005 -2.5 5.18e+004 - 1.00e+000 1.00e+000h 1\n", + " 45 4.1193681e+007 7.84e-001 1.00e+006 -2.5 5.56e+004 - 1.00e+000 1.00e+000f 1\n", + " 46 1.4749624e+011 7.71e-001 1.15e+006 -2.5 3.68e+005 - 1.00e+000 1.00e+000h 1\n", + " 47 2.1551056e+011 2.01e-001 1.98e+006 -2.5 2.71e+005 - 1.00e+000 1.00e+000h 1\n", + " 48 6.9492790e+009 5.76e-001 3.13e+006 -2.5 3.24e+005 - 1.00e+000 1.00e+000f 1\n", + " 49 6.6118467e+011 5.16e-001 3.38e+006 -2.5 6.55e+005 - 1.00e+000 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 4.9827617e+011 4.07e-001 6.68e+006 -2.5 3.23e+005 - 1.00e+000 1.00e+000f 1\n", + " 51 2.5070264e+011 5.12e-002 9.66e+005 -2.5 2.31e+005 - 1.00e+000 1.00e+000f 1\n", + " 52 6.1554283e+010 1.85e-003 3.55e+005 -2.5 3.76e+005 - 1.00e+000 5.00e-001f 2\n", + " 53 5.2610602e+004 1.97e+000 5.11e+006 -2.5 1.76e+005 - 1.00e+000 1.00e+000f 1\n", + " 54 4.4943993e+005 1.97e+000 5.11e+006 -2.5 2.59e+006 - 1.00e+000 1.22e-004h 14\n", + " 55r4.4943993e+005 1.97e+000 9.99e+002 0.3 0.00e+000 - 0.00e+000 4.77e-007R 22\n", + " 56r9.1590838e+005 9.92e-001 3.10e+002 0.3 6.91e+002 - 1.00e+000 6.90e-001f 1\n", + " 57r2.2644186e+005 9.86e-001 1.97e+001 0.3 4.81e+002 - 1.09e-001 1.00e+000h 1\n", + " 58 1.1167381e+005 1.33e-002 1.43e+003 -2.5 4.82e+002 - 1.00e+000 5.00e-001f 2\n", + " 59 2.4761164e+001 6.53e-001 4.64e+004 -2.5 2.36e+002 - 1.00e+000 1.00e+000f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 8.0634116e+005 6.53e-001 4.69e+004 -2.5 1.35e+004 - 1.00e+000 6.25e-002h 5\n", + " 61 2.0421715e+008 6.11e-001 5.31e+004 -2.5 1.25e+004 - 1.00e+000 1.00e+000h 1\n", + " 62 2.0547928e+008 3.37e-001 9.62e+004 -2.5 6.30e+003 - 1.00e+000 1.00e+000h 1\n", + " 63 3.8552223e+007 2.46e-001 3.78e+004 -2.5 7.74e+003 - 1.00e+000 1.00e+000f 1\n", + " 64 9.8554318e+006 4.34e-001 1.01e+005 -2.5 3.16e+003 - 1.00e+000 1.00e+000f 1\n", + " 65 7.0645112e+007 2.83e-001 7.29e+004 -2.5 4.05e+003 - 1.00e+000 1.00e+000h 1\n", + " 66 1.8787337e+007 1.58e-001 2.41e+004 -2.5 3.84e+003 - 1.00e+000 1.00e+000f 1\n", + " 67 7.4750382e+006 2.41e-002 4.91e+003 -2.5 2.72e+003 - 1.00e+000 5.00e-001f 2\n", + " 68 1.8819065e+006 2.10e-004 2.01e+003 -2.5 1.97e+003 - 1.00e+000 5.00e-001f 2\n", + " 69 2.2873402e-002 1.84e+000 6.28e+005 -2.5 9.70e+002 - 1.00e+000 1.00e+000f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r2.2873402e-002 1.84e+000 9.99e+002 0.3 0.00e+000 - 0.00e+000 4.77e-007R 22\n", + " 71r4.4354155e-002 8.81e-001 1.76e+001 0.3 1.81e+003 - 1.00e+000 1.01e-003f 1\n", + " 72 1.7777367e-002 9.56e-002 6.09e-001 -2.5 2.31e-001 - 1.00e+000 5.00e-001h 2\n", + " 73 3.1710544e-004 4.13e-001 1.65e+000 -2.5 9.34e-002 - 1.00e+000 1.00e+000h 1\n", + " 74 7.3010411e-003 3.89e-001 1.61e+000 -2.5 2.37e-001 - 1.00e+000 2.50e-001h 3\n", + " 75 1.6286606e-002 3.21e-001 1.35e+000 -2.5 1.32e-001 - 1.00e+000 2.50e-001h 3\n", + " 76 2.6562383e-002 3.14e-002 3.18e-001 -2.5 4.34e-002 - 1.00e+000 1.00e+000h 1\n", + " 77 2.0350305e-005 1.52e+000 1.02e+001 -2.5 1.19e-001 - 1.00e+000 1.00e+000h 1\n", + " 78 6.3258648e-005 1.51e+000 1.01e+001 -2.5 1.06e+000 - 1.00e+000 3.91e-003h 9\n", + " 79 9.8841110e-005 1.41e+000 9.40e+000 -2.5 1.04e+000 - 1.00e+000 1.95e-003h 10\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 9.9426844e-005 1.41e+000 9.40e+000 -2.5 9.65e-001 - 1.00e+000 3.05e-005h 16\n", + " 81 9.9720444e-005 1.41e+000 9.40e+000 -2.5 9.64e-001 - 1.00e+000 1.53e-005h 17\n", + " 82 9.9867426e-005 1.41e+000 9.40e+000 -2.5 9.64e-001 - 1.00e+000 7.63e-006h 18\n", + " 83 1.1102293e+000 1.41e+000 1.02e+001 -2.5 9.64e-001 - 1.00e+000 1.00e+000s 22\n", + " 84 1.1553723e+000 4.67e-001 4.85e+000 -2.5 2.00e-001 - 1.00e+000 1.00e+000s 22\n", + " 85 1.3046666e-001 4.37e-001 1.98e+000 -2.5 7.07e-001 - 1.00e+000 1.00e+000s 22\n", + " 86r1.3046666e-001 4.37e-001 9.99e+002 -0.4 0.00e+000 - 0.00e+000 0.00e+000R 1\n", + " 87r1.4621427e-001 9.41e-002 2.07e+001 -0.4 4.28e+002 - 1.00e+000 1.01e-003f 1\n", + " 88r1.2540677e-001 1.70e-003 2.64e-002 -1.1 3.19e-002 - 1.00e+000 9.89e-001f 1\n", + " 89 5.4344169e-005 8.17e-002 5.02e-001 -2.5 2.51e-001 - 1.00e+000 1.00e+000f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 6.5134737e-005 3.69e-002 2.21e-001 -2.5 1.13e-002 - 1.00e+000 2.50e-001h 3\n", + " 91 5.8419151e-005 7.57e-003 4.51e-002 -2.5 6.78e-004 - 1.00e+000 1.00e+000h 1\n", + " 92 5.0159303e-005 2.98e-003 1.62e-002 -2.5 1.95e-003 - 1.00e+000 1.00e+000h 1\n", + " 93 5.0002038e-005 3.51e-005 1.89e-004 -3.8 7.32e-005 - 1.00e+000 1.00e+000h 1\n", + " 94 5.0000004e-005 8.35e-008 3.93e-007 -5.7 1.21e-005 - 1.00e+000 1.00e+000h 1\n", + " 95 5.0000000e-005 5.22e-015 9.63e-014 -8.6 1.66e-009 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 95\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 5.0000000000000348e-005 5.0000000000000348e-005\n", + "Dual infeasibility......: 9.6315316833184283e-014 9.6315316833184283e-014\n", + "Constraint violation....: 5.2180482157382357e-015 5.2180482157382357e-015\n", + "Complementarity.........: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Overall NLP error.......: 9.6315316833184283e-014 9.6315316833184283e-014\n", + "\n", + "\n", + "Number of objective function evaluations = 359\n", + "Number of objective gradient evaluations = 88\n", + "Number of equality constraint evaluations = 359\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 100\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 95\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.032\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b1.004999999999992\n", + "0.004999999999991926\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.x = pyo.Var(initialize=5.0)\n", + "model.y = pyo.Var(initialize=5.0)\n", + "\n", + "def obj_rule(m):\n", + " return (m.x-1.01)**2 + m.y**2\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "def con_rule(m):\n", + " return (m.x - 1.0) / m.y == 1.0\n", + "model.con = pyo.Constraint(rule=con_rule)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(model, tee=True)\n", + "\n", + "print(pyo.value(model.x))\n", + "print(pyo.value(model.y))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "(b)\n", + "\n", + "$$min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}$$\n", + "$$s.t \\;\\;\\;\\; \\frac{x}{y + 1} = 1$$" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 3\n", + "\n", + "Total number of variables............................: 2\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 4.0920100e+001 1.67e-001 9.83e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 4.0023722e-001 1.49e+000 2.82e+001 -1.0 5.39e+000 - 1.00e+000 1.00e+000f 1\n", + " 2 1.0494629e+001 1.04e+000 2.24e+001 -1.0 2.58e+000 - 1.00e+000 1.00e+000h 1\n", + " 3 5.4394796e+000 1.78e-001 8.48e+000 -1.0 1.23e+000 - 1.00e+000 1.00e+000f 1\n", + " 4 1.0538196e-001 1.52e-001 3.90e+000 -1.0 1.75e+000 - 1.00e+000 1.00e+000f 1\n", + " 5 4.6918851e-002 2.17e-002 1.20e+000 -1.0 1.63e-001 - 1.00e+000 1.00e+000h 1\n", + " 6 1.3071752e-004 2.88e-003 1.19e-001 -1.0 1.62e-001 - 1.00e+000 1.00e+000h 1\n", + " 7 4.9833353e-005 1.79e-005 1.02e-003 -2.5 6.25e-003 - 1.00e+000 1.00e+000h 1\n", + " 8 5.0000013e-005 1.28e-009 6.30e-008 -5.7 9.00e-005 - 1.00e+000 1.00e+000h 1\n", + " 9 5.0000000e-005 2.22e-016 4.77e-016 -8.6 4.58e-009 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 9\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 5.0000000000001568e-005 5.0000000000001568e-005\n", + "Dual infeasibility......: 4.7704895589362195e-016 4.7704895589362195e-016\n", + "Constraint violation....: 2.2204460492503131e-016 2.2204460492503131e-016\n", + "Complementarity.........: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Overall NLP error.......: 4.7704895589362195e-016 4.7704895589362195e-016\n", + "\n", + "\n", + "Number of objective function evaluations = 10\n", + "Number of objective gradient evaluations = 10\n", + "Number of equality constraint evaluations = 10\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 10\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 9\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b1.005\n", + "0.005000000000000042\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.x = pyo.Var(initialize=5.0)\n", + "model.y = pyo.Var(initialize=5.0)\n", + "\n", + "def obj_rule(m):\n", + " return (m.x-1.01)**2 + m.y**2\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "def con_rule(m):\n", + " return m.x / (m.y + 1.0) == 1.0\n", + "model.con = pyo.Constraint(rule=con_rule)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(model, tee=True)\n", + "\n", + "print(pyo.value(model.x))\n", + "print(pyo.value(model.y))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "(c) \n", + "\n", + "$$min_{x,y} f(x,y) = (x-1.01)^{2} + y^{2}$$\n", + "$$s.t \\;\\;\\;\\; y = x - 1$$" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 2\n", + "\n", + "Total number of variables............................: 2\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 4.0920100e+001 1.00e+000 8.99e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 5.0000000e-005 0.00e+000 4.44e-016 -1.0 5.00e+000 - 1.00e+000 1.00e+000f 1\n", + "\n", + "Number of Iterations....: 1\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 5.0000000000000090e-005 5.0000000000000090e-005\n", + "Dual infeasibility......: 4.4408920985006262e-016 4.4408920985006262e-016\n", + "Constraint violation....: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Complementarity.........: 0.0000000000000000e+000 0.0000000000000000e+000\n", + "Overall NLP error.......: 4.4408920985006262e-016 4.4408920985006262e-016\n", + "\n", + "\n", + "Number of objective function evaluations = 2\n", + "Number of objective gradient evaluations = 2\n", + "Number of equality constraint evaluations = 2\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 2\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 1\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.001\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b1.005\n", + "0.004999999999999893\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.x = pyo.Var(initialize=5.0)\n", + "model.y = pyo.Var(initialize=5.0)\n", + "\n", + "def obj_rule(m):\n", + " return (m.x-1.01)**2 + m.y**2\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "def con_rule(m):\n", + " return m.y == m.x - 1.0\n", + "model.con = pyo.Constraint(rule=con_rule)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(model, tee=True)\n", + "\n", + "print(pyo.value(model.x))\n", + "print(pyo.value(model.y))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "(d) Bounds and initialization can be very helpful when solving nonlinear optimization problems. Starting with the code below, resolve the original problem, but add bounds, $y \\geq 0$. Note the\n", + "number of iterations and quality of solution, and compare with what you found in 1.2 (a)." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.9.1: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Common Public License (CPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "******************************************************************************\n", + "\n", + "NOTE: You are using Ipopt by default with the MUMPS linear solver.\n", + " Other linear solvers might be more efficient (see Ipopt documentation).\n", + "\n", + "\n", + "This is Ipopt version 3.9.1, running with linear solver mumps.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 3\n", + "\n", + "Total number of variables............................: 2\n", + " variables with only lower bounds: 1\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 4.0920100e+001 2.00e-001 9.38e+000 -1.0 0.00e+000 - 0.00e+000 0.00e+000 0\n", + " 1 9.7049410e-001 1.89e+001 2.29e+003 -1.0 5.19e+000 - 1.00e+000 9.54e-001f 1\n", + " 2 2.8303563e+003 1.85e+001 2.25e+003 -1.0 5.21e+001 - 1.88e-002 1.00e+000h 1\n", + " 3 2.9704435e+003 9.12e+000 1.14e+003 -1.0 2.64e+000 - 1.00e+000 1.00e+000h 1\n", + " 4 2.5293245e+003 4.09e+000 5.51e+002 -1.0 4.89e+000 - 8.94e-001 1.00e+000f 1\n", + " 5 1.7547126e+003 1.52e+000 2.52e+002 -1.0 1.04e+001 - 1.00e+000 1.00e+000f 1\n", + " 6 6.8047428e+002 1.49e-001 8.49e+001 -1.0 1.93e+001 - 1.00e+000 1.00e+000f 1\n", + " 7 7.4721920e+000 8.01e-001 2.32e+002 -1.0 1.91e+001 - 1.00e+000 1.00e+000f 1\n", + " 8 8.1969347e+003 7.77e-001 2.62e+002 -1.0 8.57e+001 - 3.37e-002 1.00e+000h 1\n", + " 9 1.1605265e+004 2.36e-001 4.89e+002 -1.0 6.40e+001 - 1.00e+000 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 5.5411085e+002 5.19e-001 5.83e+002 -1.0 7.36e+001 - 1.00e+000 1.00e+000f 1\n", + " 11 1.7377623e+004 4.22e-001 5.65e+002 -1.0 9.29e+001 - 3.00e-001 1.00e+000h 1\n", + " 12 1.1573362e+004 1.25e-001 1.63e+002 -1.0 6.64e+001 - 1.00e+000 5.00e-001f 2\n", + " 13 3.3128549e+003 8.55e-003 9.20e+001 -1.0 8.52e+001 - 1.00e+000 4.70e-001f 2\n", + " 14 7.1443870e-001 8.34e-001 1.80e+003 -1.0 4.11e+001 - 1.00e+000 9.85e-001f 1\n", + " 15 3.2462198e-005 4.75e-001 1.05e+003 -1.0 1.73e+002 - 1.00e+000 4.30e-003f 1\n", + " 16 9.8963008e-005 2.74e-001 8.52e+002 -1.0 1.41e+000 - 1.00e+000 4.23e-003h 1\n", + " 17 9.2105755e-005 2.40e-001 5.57e+002 -1.0 3.56e-004 - 1.00e+000 1.00e+000f 1\n", + " 18 7.9772743e-005 1.58e-001 3.60e+002 -1.0 7.13e-004 - 1.00e+000 1.00e+000h 1\n", + " 19 6.9741224e-005 6.86e-002 1.47e+002 -1.0 7.40e-004 - 1.00e+000 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 4.9888137e-005 3.97e-002 6.88e+001 -1.0 2.39e-003 - 1.00e+000 1.00e+000h 1\n", + " 21 3.3950490e-004 3.02e-002 4.89e+001 -1.0 1.32e-002 - 1.00e+000 1.00e+000f 1\n", + " 22 3.7536170e-003 1.95e-002 3.11e+001 -1.0 3.12e-002 - 1.00e+000 1.00e+000h 1\n", + " 23 1.2981580e-002 8.58e-003 1.36e+001 -1.0 3.74e-002 - 1.00e+000 1.00e+000h 1\n", + " 24 3.4681398e-002 3.23e-003 5.01e+000 -1.0 5.13e-002 - 1.00e+000 1.00e+000h 1\n", + " 25 4.7179466e-002 4.50e-004 7.03e-001 -1.0 2.21e-002 - 1.00e+000 1.00e+000h 1\n", + " 26 1.7082443e-002 2.83e-004 3.55e-001 -1.7 6.13e-002 - 1.00e+000 1.00e+000f 1\n", + " 27 1.0216180e-002 7.79e-005 1.09e-001 -1.7 2.10e-002 - 1.00e+000 1.00e+000h 1\n", + " 28 3.1289054e-003 5.64e-005 3.27e-002 -2.5 3.21e-002 - 1.00e+000 1.00e+000h 1\n", + " 29 1.4987215e-003 2.18e-005 2.21e-002 -2.5 1.23e-002 - 1.00e+000 1.00e+000h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 3.8554063e-004 1.69e-005 4.50e-003 -3.8 1.40e-002 - 1.00e+000 1.00e+000h 1\n", + " 31 1.3832051e-004 9.18e-006 4.39e-003 -3.8 6.31e-003 - 1.00e+000 1.00e+000h 1\n", + " 32 8.9968997e-005 2.11e-006 9.99e-006 -3.8 2.18e-003 - 1.00e+000 1.00e+000h 1\n", + " 33 5.4301800e-005 9.79e-007 2.80e-003 -5.7 3.00e-003 - 1.00e+000 1.00e+000h 1\n", + " 34 5.0216846e-005 2.09e-007 1.11e-004 -5.7 1.14e-003 - 1.00e+000 1.00e+000h 1\n", + " 35 5.0020268e-005 9.37e-009 2.55e-005 -5.7 2.29e-004 - 1.00e+000 1.00e+000h 1\n", + " 36 5.0016425e-005 1.85e-011 1.06e-008 -5.7 1.00e-005 - 1.00e+000 1.00e+000h 1\n", + " 37 5.0000006e-005 3.39e-013 3.16e-006 -8.6 8.89e-005 - 1.00e+000 1.00e+000h 1\n", + " 38 5.0000000e-005 5.55e-015 4.02e-013 -8.6 1.58e-006 - 1.00e+000 1.00e+000h 1\n", + "\n", + "Number of Iterations....: 38\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 5.0000000031647193e-005 5.0000000031647193e-005\n", + "Dual infeasibility......: 4.0225288377992996e-013 4.0225288377992996e-013\n", + "Constraint violation....: 5.5511151231257827e-015 5.5511151231257827e-015\n", + "Complementarity.........: 2.5158913589264014e-009 2.5158913589264014e-009\n", + "Overall NLP error.......: 2.5158913589264014e-009 2.5158913589264014e-009\n", + "\n", + "\n", + "Number of objective function evaluations = 44\n", + "Number of objective gradient evaluations = 39\n", + "Number of equality constraint evaluations = 44\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 39\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 38\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b1.0050001257911454\n", + "0.005000125791145421\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "\n", + "model.x = pyo.Var(initialize=5.0)\n", + "model.y = pyo.Var(initialize=5.0, bounds=(0,None))\n", + "\n", + "def obj_rule(m):\n", + " return (m.x-1.01)**2 + m.y**2\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "def con_rule(m):\n", + " return (m.x - 1.0) / m.y == 1.0\n", + "model.con = pyo.Constraint(rule=con_rule)\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "solver.solve(model, tee=True)\n", + "\n", + "print(pyo.value(model.x))\n", + "print(pyo.value(model.y))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Nonlinear Exercises/1.4 Reactor design problem.ipynb b/_build/html/_sources/Material/Nonlinear Exercises/1.4 Reactor design problem.ipynb new file mode 100644 index 00000000..f3afae32 --- /dev/null +++ b/_build/html/_sources/Material/Nonlinear Exercises/1.4 Reactor design problem.ipynb @@ -0,0 +1,149 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.4 Reactor design problem (Hart et al., 2017; Bequette, 2003): \n", + "In this example, we will consider a chemical reactor designed to produce\n", + "product B from reactant A using a reaction scheme known as the Van\n", + "de Vusse reaction:\n", + "\n", + "$$A^{\\underrightarrow{k_{1}}}B^{\\underrightarrow{k_{2}}}C$$\n", + "$$2A^{\\underrightarrow{k_{3}}}D$$\n", + "Under appropriate assumptions, $F$ is the volumetric flowrate through the tank. The concentation of component $A$ in the feed is $c_{Af}$ , and the concentrations in the reactor are equivalent to the concentrations of each component flowing out of the reactor, given by $c_{A}, c_{B}, c_{C}, c_{D}$\n", + "\n", + "If the reactor is too small, we will not produce sufficient quantity of $B$, and if the reactor is too large, much of $B$ will be further reacted to form the undesired product $C$. Therefore, our goal is to solve for the reactor volume that maximizes the outlet concentration for product $B$.\n", + "\n", + "The steady-state mole balances for each of the four components are given by,\n", + "\n", + "$$0 = \\frac{F}{V}c_{Af} - \\frac{F}{V}c_{A} - k_{1}c_{A} - 2k_{3}c_{A}^{2}$$\n", + "$$0 = -\\frac{F}{V}c_{B} + k_{1}c_{A} - k_{2}c_{B}$$\n", + "$$0 = -\\frac{F}{V}c_{C} + k_{2}c_{B}$$\n", + "$$0 = -\\frac{F}{V}c_{D} + k_{3}c_{A}^{2}$$\n", + "\n", + "The known parameters for the system are,\n", + "\n", + "$$c_{Af} = 10 \\frac{gmol}{m^3} \\;\\;\\;\\; k_{1} = \\frac{5}{6} min^{-1} \\;\\;\\;\\; k_{2} = \\frac{5}{3} min^{-1} \\;\\;\\;\\; k_{3} = \\frac{1}{6000} \\frac{m^{3}}{mol\\;min}$$\n", + "\n", + "Below we formulate and solve this optimization problem using Pyomo. Since the\n", + "volumetric flowrate $F$ always appears as the numerator over the reactor\n", + "volume $V$ , it is common to consider this ratio as a single variable, called\n", + "the space-velocity $SV$. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5 Var Declarations\n", + " ca : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 3874.2588672317133 : None : False : False : PositiveReals\n", + " cb : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1072.437200108632 : None : False : False : PositiveReals\n", + " cc : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1330.0935334088806 : None : False : False : PositiveReals\n", + " cd : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1861.605199625387 : None : False : False : PositiveReals\n", + " sv : Size=1, Index=None\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " None : 0 : 1.3438117610672782 : None : False : False : PositiveReals\n", + "\n", + "1 Objective Declarations\n", + " obj : Size=1, Index=None, Active=True\n", + " Key : Active : Sense : Expression\n", + " None : True : maximize : cb\n", + "\n", + "4 Constraint Declarations\n", + " ca_bal : Size=1, Index=None, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " None : 0.0 : 10000.0*sv - sv*ca - 0.8333333333333334*ca - 0.0003333333333333333*ca**2.0 : 0.0 : True\n", + " cb_bal : Size=1, Index=None, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " None : 0.0 : - sv*cb + 0.8333333333333334*ca - 1.6666666666666667*cb : 0.0 : True\n", + " cc_bal : Size=1, Index=None, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " None : 0.0 : - sv*cc + 1.6666666666666667*cb : 0.0 : True\n", + " cd_bal : Size=1, Index=None, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " None : 0.0 : - sv*cd + 0.00016666666666666666*ca**2.0 : 0.0 : True\n", + "\n", + "10 Declarations: sv ca cb cc cd obj ca_bal cb_bal cc_bal cd_bal\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "# create the concrete model\n", + "model = pyo.ConcreteModel()\n", + "\n", + "# set the data (native python data)\n", + "k1 = 5.0/6.0 # min^-1\n", + "k2 = 5.0/3.0 # min^-1\n", + "k3 = 1.0/6000.0 # m^3/(gmol min)\n", + "caf = 10000.0 # gmol/m^3\n", + "\n", + "# create the variables\n", + "model.sv = pyo.Var(initialize = 1.0, within=pyo.PositiveReals)\n", + "model.ca = pyo.Var(initialize = 5000.0, within=pyo.PositiveReals)\n", + "model.cb = pyo.Var(initialize = 2000.0, within=pyo.PositiveReals)\n", + "model.cc = pyo.Var(initialize = 2000.0, within=pyo.PositiveReals)\n", + "model.cd = pyo.Var(initialize = 1000.0, within=pyo.PositiveReals)\n", + "\n", + "# create the objective\n", + "model.obj = pyo.Objective(expr = model.cb, sense=pyo.maximize)\n", + "\n", + "# create the constraints\n", + "model.ca_bal = pyo.Constraint(expr = (0 == model.sv * caf \\\n", + " - model.sv * model.ca - k1 * model.ca \\\n", + " - 2.0 * k3 * model.ca ** 2.0))\n", + "\n", + "model.cb_bal = pyo.Constraint(expr=(0 == -model.sv * model.cb \\\n", + " + k1 * model.ca - k2 * model.cb))\n", + "\n", + "model.cc_bal = pyo.Constraint(expr=(0 == -model.sv * model.cc \\\n", + " + k2 * model.cb))\n", + "\n", + "model.cd_bal = pyo.Constraint(expr=(0 == -model.sv * model.cd \\\n", + " + k3 * model.ca ** 2.0))\n", + "\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "\n", + "solver.solve(model)\n", + "model.pprint()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals.md b/_build/html/_sources/Material/Pyomo Fundamentals.md new file mode 100644 index 00000000..067902b0 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals.md @@ -0,0 +1 @@ +# Pyomo Fundamentals \ No newline at end of file diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/1.1 Knapsack Example.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/1.1 Knapsack Example.ipynb new file mode 100644 index 00000000..4b0a72e6 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/1.1 Knapsack Example.ipynb @@ -0,0 +1,105 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 1.1 Knapsack example: \n", + "Below is the knapsack problem. Which items are acquired in the optimal solution? What is the value of the selected items?" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 Set Declarations\n", + " x_index : Size=1, Index=None, Ordered=Insertion\n", + " Key : Dimen : Domain : Size : Members\n", + " None : 1 : Any : 4 : {'hammer', 'wrench', 'screwdriver', 'towel'}\n", + "\n", + "1 Var Declarations\n", + " x : Size=4, Index=x_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " hammer : 0 : 1.0 : 1 : False : False : Binary\n", + " screwdriver : 0 : 1.0 : 1 : False : False : Binary\n", + " towel : 0 : 1.0 : 1 : False : False : Binary\n", + " wrench : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + "1 Objective Declarations\n", + " obj : Size=1, Index=None, Active=True\n", + " Key : Active : Sense : Expression\n", + " None : True : maximize : 8*x[hammer] + 3*x[wrench] + 6*x[screwdriver] + 11*x[towel]\n", + "\n", + "1 Constraint Declarations\n", + " weight_con : Size=1, Index=None, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " None : -Inf : 5*x[hammer] + 7*x[wrench] + 4*x[screwdriver] + 3*x[towel] : 14.0 : True\n", + "\n", + "4 Declarations: x_index x obj weight_con\n" + ] + }, + { + "ename": "", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n", + "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n", + "\u001b[1;31mClick here for more info. \n", + "\u001b[1;31mView Jupyter log for further details." + ] + } + ], + "source": [ + "# knapsack.py \n", + "import pyomo.environ as pyo\n", + "\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "\n", + "model.obj = pyo.Objective(\n", + " expr = sum( b[i]*model.x[i] for i in A ), \n", + " sense = pyo.maximize )\n", + "\n", + "model.weight_con = pyo.Constraint(\n", + " expr = sum( w[i]*model.x[i] for i in A ) <= W_max )\n", + "\n", + "opt = pyo.SolverFactory('glpk')\n", + "opt_success = opt.solve(model)\n", + "\n", + "model.pprint()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/1.2 Knapsack with improved printing.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/1.2 Knapsack with improved printing.ipynb new file mode 100644 index 00000000..8a974b71 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/1.2 Knapsack with improved printing.ipynb @@ -0,0 +1,93 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.2 Knapsack with improved printing: \n", + "The knapsack.py example shown\n", + "in the tutorial uses `model.pprint()` to see the value of the solution\n", + "variables. Note that the Pyomo value function should be used to get the floating point value of Pyomo modeling components (e.g., `print(value(model.x[i])`). We can also\n", + "print the value of the items selected (the objective), and the total\n", + "weight." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Weight: 12.0\n", + "Total Benefit: 25.0\n", + " Item Selected\n", + "=========================\n", + " hammer Yes\n", + " wrench No\n", + " screwdriver Yes\n", + " towel Yes\n", + "-------------------------\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "\n", + "model.obj = pyo.Objective(\n", + " expr = sum( b[i]*model.x[i] for i in A ), \n", + " sense = pyo.maximize )\n", + "\n", + "model.weight_con = pyo.Constraint(\n", + " expr = sum( w[i]*model.x[i] for i in A ) <= W_max )\n", + "\n", + "opt = pyo.SolverFactory('cbc')\n", + "opt_success = opt.solve(model)\n", + "\n", + "total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )\n", + "print('Total Weight:', total_weight)\n", + "print('Total Benefit:', pyo.value(model.obj))\n", + "\n", + "print('%12s %12s' % ('Item', 'Selected'))\n", + "print('=========================')\n", + "for i in A:\n", + " acquired = 'No'\n", + " if pyo.value(model.x[i]) >= 0.5:\n", + " acquired = 'Yes'\n", + " print('%12s %12s' % (i, acquired))\n", + "print('-------------------------')\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/1.3 Changing data.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/1.3 Changing data.ipynb new file mode 100644 index 00000000..522f8254 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/1.3 Changing data.ipynb @@ -0,0 +1,89 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.3 Changing data: \n", + "When we increase the value of the wrench, at what point would it become selected as part of the optimal solution?" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Weight: 14.0\n", + "Total Benefit: 25.0\n", + " Item Selected\n", + "=========================\n", + " hammer No\n", + " wrench Yes\n", + " screwdriver Yes\n", + " towel Yes\n", + "-------------------------\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':8, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "\n", + "model.obj = pyo.Objective(\n", + " expr = sum( b[i]*model.x[i] for i in A ), \n", + " sense = pyo.maximize )\n", + "\n", + "model.weight_con = pyo.Constraint(\n", + " expr = sum( w[i]*model.x[i] for i in A ) <= W_max )\n", + "\n", + "opt = pyo.SolverFactory('cbc')\n", + "opt_success = opt.solve(model)\n", + "\n", + "total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )\n", + "print('Total Weight:', total_weight)\n", + "print('Total Benefit:', pyo.value(model.obj))\n", + "\n", + "print('%12s %12s' % ('Item', 'Selected'))\n", + "print('=========================')\n", + "for i in A:\n", + " acquired = 'No'\n", + " if pyo.value(model.x[i]) >= 0.5:\n", + " acquired = 'Yes'\n", + " print('%12s %12s' % (i, acquired))\n", + "print('-------------------------')\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/1.4 Loading data from Excel.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/1.4 Loading data from Excel.ipynb new file mode 100644 index 00000000..35b8e658 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/1.4 Loading data from Excel.ipynb @@ -0,0 +1,94 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.4 Loading data from Excel: \n", + "In the knapsack example shown in the tutorial slides, the data is hardcoded at the top of the file. Instead of hard-coding the data, we can Python to load the data from a different source." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Weight: 12.0\n", + "Total Benefit: 25.0\n", + " Item Selected\n", + "=========================\n", + " hammer Yes\n", + " wrench No\n", + " screwdriver Yes\n", + " towel Yes\n", + "-------------------------\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import pyomo.environ as pyo\n", + "import os\n", + "import openpyxl\n", + "path = os.path.abspath('knapsack_data.xlsx')\n", + "df_items = pd.read_excel(path, sheet_name='data', header=0, index_col=0)\n", + "W_max = 14\n", + "\n", + "A = df_items.index.tolist()\n", + "b = df_items['Benefit'].to_dict()\n", + "w = df_items['Weight'].to_dict()\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "\n", + "model.obj = pyo.Objective(\n", + " expr = sum( b[i]*model.x[i] for i in A ), \n", + " sense = pyo.maximize )\n", + "\n", + "model.weight_con = pyo.Constraint(\n", + " expr = sum( w[i]*model.x[i] for i in A ) <= W_max )\n", + "\n", + "opt = pyo.SolverFactory('cbc')\n", + "opt_success = opt.solve(model)\n", + "\n", + "total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )\n", + "print('Total Weight:', total_weight)\n", + "print('Total Benefit:', pyo.value(model.obj))\n", + "\n", + "print('%12s %12s' % ('Item', 'Selected'))\n", + "print('=========================')\n", + "for i in A:\n", + " acquired = 'No'\n", + " if pyo.value(model.x[i]) >= 0.5:\n", + " acquired = 'Yes'\n", + " print('%12s %12s' % (i, acquired))\n", + "print('-------------------------')\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/1.5 NLP vs MIP.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/1.5 NLP vs MIP.ipynb new file mode 100644 index 00000000..2600bf21 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/1.5 NLP vs MIP.ipynb @@ -0,0 +1,90 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.5 NLP vs MIP: \n", + "Here we solve the knapsack problem with Ipopt instead of cbc. What happened? Why?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 Var Declarations\n", + " x : Size=4, Index={hammer, wrench, screwdriver, towel}\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " hammer : 0 : 1.0 : 1 : False : False : Binary\n", + " screwdriver : 0 : 1.0 : 1 : False : False : Binary\n", + " towel : 0 : 1.0 : 1 : False : False : Binary\n", + " wrench : 0 : 0.2857142884855867 : 1 : False : False : Binary\n", + "\n", + "1 Objective Declarations\n", + " obj : Size=1, Index=None, Active=True\n", + " Key : Active : Sense : Expression\n", + " None : True : maximize : 8*x[hammer] + 3*x[wrench] + 6*x[screwdriver] + 11*x[towel]\n", + "\n", + "1 Constraint Declarations\n", + " weight_con : Size=1, Index=None, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " None : -Inf : 5*x[hammer] + 7*x[wrench] + 4*x[screwdriver] + 3*x[towel] : 14.0 : True\n", + "\n", + "3 Declarations: x obj weight_con\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "import os\n", + "os.environ['PATH'] += ':solvers'\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "\n", + "model.obj = pyo.Objective(\n", + " expr = sum( b[i]*model.x[i] for i in A ), \n", + " sense = pyo.maximize )\n", + "\n", + "model.weight_con = pyo.Constraint(\n", + " expr = sum( w[i]*model.x[i] for i in A ) <= W_max )\n", + "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n", + "opt = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n", + "opt_success = opt.solve(model)\n", + "\n", + "model.pprint()\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/2.1 Knapsack problem with rules.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/2.1 Knapsack problem with rules.ipynb new file mode 100644 index 00000000..cd3bfc37 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/2.1 Knapsack problem with rules.ipynb @@ -0,0 +1,90 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.1 Knapsack problem with rules: \n", + "Rules are important for defining indexed constraints, however, they can also be used for single (i.e. scalar) constraints. Here we reimplement the model using\n", + "rules for the objective and the constraints." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 Var Declarations\n", + " x : Size=4, Index={hammer, wrench, screwdriver, towel}\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " hammer : 0 : 1.0 : 1 : False : False : Binary\n", + " screwdriver : 0 : 1.0 : 1 : False : False : Binary\n", + " towel : 0 : 1.0 : 1 : False : False : Binary\n", + " wrench : 0 : 0.0 : 1 : False : False : Binary\n", + "\n", + "1 Objective Declarations\n", + " obj : Size=1, Index=None, Active=True\n", + " Key : Active : Sense : Expression\n", + " None : True : maximize : 8*x[hammer] + 3*x[wrench] + 6*x[screwdriver] + 11*x[towel]\n", + "\n", + "1 Constraint Declarations\n", + " weight_con : Size=1, Index=None, Active=True\n", + " Key : Lower : Body : Upper : Active\n", + " None : -Inf : 5*x[hammer] + 7*x[wrench] + 4*x[screwdriver] + 3*x[towel] : 14.0 : True\n", + "\n", + "3 Declarations: x obj weight_con\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "\n", + "def obj_rule(m):\n", + " return sum( b[i]*m.x[i] for i in A )\n", + "model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )\n", + "\n", + "def weight_con_rule(m):\n", + " return sum( w[i]*m.x[i] for i in A ) <= W_max\n", + "model.weight_con = pyo.Constraint(rule=weight_con_rule)\n", + "\n", + "opt = pyo.SolverFactory('cbc')\n", + "opt_success = opt.solve(model)\n", + "\n", + "model.pprint()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/2.2 Integer formulation of the knapsack problem.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/2.2 Integer formulation of the knapsack problem.ipynb new file mode 100644 index 00000000..1fa21816 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/2.2 Integer formulation of the knapsack problem.ipynb @@ -0,0 +1,110 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.2 Integer formulation of the knapsack problem: \n", + "Consider again, the\n", + "knapsack problem. Assume now that we can acquire multiple items of\n", + "the same type. In this new formulation, $x_{i}$ is now an integer variable\n", + "instead of a binary variable. One way to formulate this problem is as\n", + "follows:\n", + "\n", + "$$max_{q,x} \\sum _{i \\in A} v_{i}x_{i}$$\n", + "\n", + "$$s.t \\sum _{i \\in A} w_{i}x_{i} \\leq W_{max}$$\n", + "\n", + "$$x_{i} = \\sum ^{N} _{j=0}jq_{i,j} \\;\\;\\;\\;\\;\\;\\; \\forall i \\in A$$\n", + "\n", + "$$0 \\leq x \\leq N$$\n", + "\n", + "$$q_{i,j} \\in \\{0,1\\} \\;\\;\\;\\; \\forall i \\in A, j \\in \\{0..N\\}$$\n", + "\n", + "Below we implement this new formulation and solve. Is the solution surprising?\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Weight: 12.0\n", + "Total Benefit: 44.0\n", + " Item # Selected\n", + "=========================\n", + " hammer 0.0\n", + " wrench 0.0\n", + " screwdriver 0.0\n", + " towel 4.0\n", + "-------------------------\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "N = range(6) # create a list from 0-5\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A )\n", + "model.q = pyo.Var( A, N, within=pyo.Binary )\n", + "\n", + "def obj_rule(m):\n", + " return sum( b[i]*m.x[i] for i in A )\n", + "model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )\n", + "\n", + "def weight_con_rule(m):\n", + " return sum( w[i]*m.x[i] for i in A ) <= W_max\n", + "model.weight_con = pyo.Constraint(rule=weight_con_rule)\n", + "\n", + "def x_integer_rule(m, i):\n", + " return m.x[i] == sum( j*m.q[i,j] for j in N )\n", + "model.x_integer = pyo.Constraint(A, rule=x_integer_rule)\n", + "\n", + "opt = pyo.SolverFactory('glpk')\n", + "result_obj = opt.solve(model)\n", + "\n", + "total_weight = sum( w[i]*pyo.value(model.x[i]) for i in A )\n", + "print('Total Weight:', total_weight)\n", + "print('Total Benefit:', pyo.value(model.obj))\n", + "\n", + "print('%12s %12s' % ('Item', '# Selected'))\n", + "print('=========================')\n", + "for i in A:\n", + " print('%12s %12s' % (i, pyo.value(model.x[i])))\n", + "print('-------------------------')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/3.1 Using the decorator notation for rules.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/3.1 Using the decorator notation for rules.ipynb new file mode 100644 index 00000000..6013a8f1 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/3.1 Using the decorator notation for rules.ipynb @@ -0,0 +1,111 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.1 Using the decorator notation for rules: \n", + "In the slides, we saw an alternative notation for declaring and defining Pyomo components using decorators. Below we change the model to use the decorator notation." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "y : Size=3, Index={Harlingen, Memphis, Ashland}\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " Ashland : 0 : 1.0 : 1 : False : False : Binary\n", + " Harlingen : 0 : 1.0 : 1 : False : False : Binary\n", + " Memphis : 0 : 0.0 : 1 : False : False : Binary\n", + "x : Size=12, Index={Harlingen, Memphis, Ashland}*{NYC, LA, Chicago, Houston}\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " ('Ashland', 'Chicago') : 0 : 1.0 : 1 : False : False : Reals\n", + " ('Ashland', 'Houston') : 0 : 0.0 : 1 : False : False : Reals\n", + " ('Ashland', 'LA') : 0 : 0.0 : 1 : False : False : Reals\n", + " ('Ashland', 'NYC') : 0 : 1.0 : 1 : False : False : Reals\n", + " ('Harlingen', 'Chicago') : 0 : 0.0 : 1 : False : False : Reals\n", + " ('Harlingen', 'Houston') : 0 : 1.0 : 1 : False : False : Reals\n", + " ('Harlingen', 'LA') : 0 : 1.0 : 1 : False : False : Reals\n", + " ('Harlingen', 'NYC') : 0 : 0.0 : 1 : False : False : Reals\n", + " ('Memphis', 'Chicago') : 0 : 0.0 : 1 : False : False : Reals\n", + " ('Memphis', 'Houston') : 0 : 0.0 : 1 : False : False : Reals\n", + " ('Memphis', 'LA') : 0 : 0.0 : 1 : False : False : Reals\n", + " ('Memphis', 'NYC') : 0 : 0.0 : 1 : False : False : Reals\n" + ] + } + ], + "source": [ + "# Warehouse location determination problem using decorator notation\n", + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel(name=\"(WL)\")\n", + "\n", + "W = ['Harlingen', 'Memphis', 'Ashland']\n", + "C = ['NYC', 'LA', 'Chicago', 'Houston']\n", + "d = {('Harlingen', 'NYC'): 1956, \\\n", + " ('Harlingen', 'LA'): 1606, \\\n", + " ('Harlingen', 'Chicago'): 1410, \\\n", + " ('Harlingen', 'Houston'): 330, \\\n", + " ('Memphis', 'NYC'): 1096, \\\n", + " ('Memphis', 'LA'): 1792, \\\n", + " ('Memphis', 'Chicago'): 531, \\\n", + " ('Memphis', 'Houston'): 567, \\\n", + " ('Ashland', 'NYC'): 485, \\\n", + " ('Ashland', 'LA'): 2322, \\\n", + " ('Ashland', 'Chicago'): 324, \\\n", + " ('Ashland', 'Houston'): 1236 }\n", + "P = 2\n", + "\n", + "model.x = pyo.Var(W, C, bounds=(0,1))\n", + "model.y = pyo.Var(W, within=pyo.Binary)\n", + "\n", + "@model.Objective()\n", + "def obj(m):\n", + " return sum(d[w,c]*m.x[w,c] for w in W for c in C)\n", + "\n", + "@model.Constraint(C)\n", + "def one_per_cust(m, c):\n", + " return sum(m.x[w,c] for w in W) == 1\n", + "\n", + "@model.Constraint(W,C)\n", + "def warehouse_active(m, w, c):\n", + " return m.x[w,c] <= m.y[w]\n", + "\n", + "@model.Constraint()\n", + "def num_warehouses(m):\n", + " return sum(m.y[w] for w in W) <= P\n", + "\n", + "pyo.SolverFactory('glpk').solve(model)\n", + "\n", + "model.y.pprint()\n", + "model.x.pprint()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/3.2 Changing Parameter values.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/3.2 Changing Parameter values.ipynb new file mode 100644 index 00000000..46ce5cb5 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/3.2 Changing Parameter values.ipynb @@ -0,0 +1,85 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.2 Changing Parameter values: \n", + "In the tutorial slides, we saw that a parameter could be specified to be *mutable*. This tells Pyomo that the value of the parameter may change in the future, and allows the user to change the parameter value and resolve the problem without the need to rebuild the entire model each time. We will use this functionality\n", + "to find a better solution to an earlier exercise. Considering again the knapsack problem, we would like to find when the wrench becomes valuable enough to be a part of the optimal solution. Below we create a Pyomo *Parameter* for the value of the items, make it mutable, and then write a loop that prints the solution for different wrench values. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrench benefit: 1 x['wrench']: 0.0\n", + "Wrench benefit: 2 x['wrench']: 0.0\n", + "Wrench benefit: 3 x['wrench']: 0.0\n", + "Wrench benefit: 4 x['wrench']: 0.0\n", + "Wrench benefit: 5 x['wrench']: 0.0\n", + "Wrench benefit: 6 x['wrench']: 0.0\n", + "Wrench benefit: 7 x['wrench']: 0.0\n", + "Wrench benefit: 8 x['wrench']: 1.0\n", + "Wrench benefit: 9 x['wrench']: 1.0\n", + "Wrench benefit: 10 x['wrench']: 1.0\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "model.item_benefit = pyo.Param( A, within=pyo.NonNegativeReals, initialize=b, mutable=True)\n", + "\n", + "def obj_rule(m):\n", + " return sum( m.item_benefit[i]*m.x[i] for i in A )\n", + "model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )\n", + "\n", + "def weight_rule(m):\n", + " return sum( w[i]*m.x[i] for i in A ) <= W_max\n", + "model.weight = pyo.Constraint(rule=weight_rule)\n", + "\n", + "opt = pyo.SolverFactory('glpk')\n", + "\n", + "for wrench_benefit in range(1,11):\n", + " model.item_benefit['wrench'] = wrench_benefit\n", + " result_obj = opt.solve(model)\n", + "\n", + " print('Wrench benefit:', wrench_benefit, \"x['wrench']:\", pyo.value(model.x['wrench']))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/3.3 Integer cuts.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/3.3 Integer cuts.ipynb new file mode 100644 index 00000000..31dc9451 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/3.3 Integer cuts.ipynb @@ -0,0 +1,101 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.3 Integer cuts: \n", + "Often, it can be important to find not only the “best” solution, but a number of solutions that are equally optimal, or close to optimal. For discrete optimization problems, this can be done using something known as an integer cut. Consider again the knapsack problem where the choice of which items to select is a discrete variable $x_{i} \\forall i \\in A$. Let $x_{i}^{*}$ be a particular set of x values we want to remove from the feasible solution space. We define an integer cut using two sets. The first set $S_{0}$ contains the indices for those variables whose current solution is 0, and the second set $S_{1}$ consists of indices for those variables whose current solution is 1. Given these two sets, an integer cut constraint that would prevent such a solution from appearing again\n", + "is defined by,\n", + "\n", + "$$\\sum _{i \\in S_{0}}x[i] + \\sum _{i \\in \\in S_{1}}(1 - x[i]) \\geq 1$$\n", + "\n", + "Below, we write a loop that solves the problem 5 times, adding an integer cut to remove the previous solution, and printing the value of the objective function and the solution at each iteration of the loop." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Obj: 25.0 x[hammer]: 1.000000 x[wrench]: 0.000000 x[screwdriver]: 1.000000 x[towel]: 1.000000\n", + "Obj: 20.0 x[hammer]: 0.000000 x[wrench]: 1.000000 x[screwdriver]: 1.000000 x[towel]: 1.000000\n", + "Obj: 19.0 x[hammer]: 1.000000 x[wrench]: 0.000000 x[screwdriver]: 0.000000 x[towel]: 1.000000\n", + "Obj: 17.0 x[hammer]: 0.000000 x[wrench]: 0.000000 x[screwdriver]: 1.000000 x[towel]: 1.000000\n", + "Obj: 14.0 x[hammer]: 0.000000 x[wrench]: 1.000000 x[screwdriver]: 0.000000 x[towel]: 1.000000\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "A = ['hammer', 'wrench', 'screwdriver', 'towel']\n", + "b = {'hammer':8, 'wrench':3, 'screwdriver':6, 'towel':11}\n", + "w = {'hammer':5, 'wrench':7, 'screwdriver':4, 'towel':3}\n", + "W_max = 14\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.x = pyo.Var( A, within=pyo.Binary )\n", + "\n", + "def obj_rule(m):\n", + " return sum( b[i]*m.x[i] for i in A )\n", + "model.obj = pyo.Objective(rule=obj_rule, sense = pyo.maximize )\n", + "\n", + "def weight_con_rule(m):\n", + " return sum( w[i]*m.x[i] for i in A ) <= W_max\n", + "model.weight_con = pyo.Constraint(rule=weight_con_rule)\n", + "\n", + "opt = pyo.SolverFactory('glpk')\n", + "\n", + "\n", + "# create the ConstraintList to hold the integer cuts\n", + "model.int_cuts = pyo.ConstraintList()\n", + "\n", + "# loop 5 times\n", + "for l in range(5):\n", + " # solve the problem\n", + " result_obj = opt.solve(model)\n", + "\n", + " # print the solution\n", + " output_str = 'Obj: ' + str(pyo.value(model.obj))\n", + " for i in A:\n", + " output_str += \" x[%s]: %f\" % (str(i), pyo.value(model.x[i]))\n", + " print(output_str) \n", + " \n", + " # add the integer cut based on the current solution\n", + " cut_expr = 0\n", + " for i in A:\n", + " if pyo.value(model.x[i]) < 0.5:\n", + " cut_expr += model.x[i]\n", + " else:\n", + " cut_expr += (1.0 - model.x[i])\n", + " model.int_cuts.add(cut_expr >= 1)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/3.4 Putting it all together with the lot sizing example.ipynb b/_build/html/_sources/Material/Pyomo Fundamentals/3.4 Putting it all together with the lot sizing example.ipynb new file mode 100644 index 00000000..8afe3d27 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/3.4 Putting it all together with the lot sizing example.ipynb @@ -0,0 +1,130 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.4 Putting it all together with the lot sizing example: (Hart et al., 2017)\n", + "We will now write a complete model from scratch using a well-known multi-period optimization problem for optimal lot-sizing adapted from\n", + "Hagen et al. (2001) shown below.\n", + "\n", + "\n", + "$$\\begin{align}\n", + "min \\sum _{t \\in T} c_{t} y_{t} + h_{t}^{+}I_{t}^{+} + h_{t}^{-}I_{t}^{-} \\\\\n", + "s.t. \\;\\;\\;I_{t} &= I_{t-1} + X_{t} - d_{t} \\\\\n", + "I_{t} &= I_{t}^{+} - I_{t}^{-} \\\\\n", + "X_{t} &\\leq Py_{t} \\\\\n", + "X_{t}, I_{t}^{+}, I_{t}^{-} &\\geq 0 \\\\\n", + "y_{t} &\\in \\{0,1\\}\n", + "\\end{align}\n", + "$$\n", + "\n", + "\n", + "Our goal is to find the optimal production $X_{t}$ given known demands $d_{t}$, fixed cost $c_{t}$ associated with active production in a particular time\n", + "period, an inventory holding cost $h_{t}^{+}$ and a shortage cost $h_{t}^{-}$ (cost of keeping a backlog) of orders. The variable $y_{t}$ (binary) determines if we produce in time $t$ or not, and $I_{t}^{+}$ represents inventory that we are storing\n", + "across time period $t$, while $h_{t}^{-}$ represents the magnitude of the backlog.\n", + "Note that equation (4) is a constraint that only allows production in time period t if the indicator variable $y_{t}=1$. Below we write a Pyomo model for this problem and solve it using *glpk* using the data provided below. \n", + "\n", + "| Parameter | Description | Value |\n", + "| :---: | :---- | :--- |\n", + "|$c$|fixed cost of production|4.6|\n", + "|$I_{0}^{+}$|initial value of positive inventory|5.0|\n", + "|$I_{0}^{-}$|initial value of backlogged orders|0.0|\n", + "|$h^{+}$|cost (per unit) of holding inventory|0.7|\n", + "|$h^{-}$|shortage cost (per unit)|1.2|\n", + "|$P$|maximum production amount (big-M value)|5|\n", + "|$d$|demand|[5,7,6.2,3.1,1.7]|" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Period: 1, Prod. Amount: 3.0\n", + "Period: 2, Prod. Amount: 5.0\n", + "Period: 3, Prod. Amount: 5.0\n", + "Period: 4, Prod. Amount: 5.0\n", + "Period: 5, Prod. Amount: 0.0\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "model = pyo.ConcreteModel()\n", + "model.T = pyo.RangeSet(5) # time periods\n", + "\n", + "i0 = 5.0 # initial inventory\n", + "c = 4.6 # setup cost\n", + "h_pos = 0.7 # inventory holding cost\n", + "h_neg = 1.2 # shortage cost\n", + "P = 5.0 # maximum production amount\n", + "\n", + "# demand during period t\n", + "d = {1: 5.0, 2:7.0, 3:6.2, 4:3.1, 5:1.7}\n", + "\n", + "# define the variables\n", + "model.y = pyo.Var(model.T, domain=pyo.Binary)\n", + "model.x = pyo.Var(model.T, domain=pyo.NonNegativeReals)\n", + "model.i = pyo.Var(model.T)\n", + "model.i_pos = pyo.Var(model.T, domain=pyo.NonNegativeReals)\n", + "model.i_neg = pyo.Var(model.T, domain=pyo.NonNegativeReals)\n", + "\n", + "# define the inventory relationships\n", + "def inventory_rule(m, t):\n", + " if t == m.T.first():\n", + " return m.i[t] == i0 + m.x[t] - d[t]\n", + " return m.i[t] == m.i[t-1] + m.x[t] - d[t]\n", + "model.inventory = pyo.Constraint(model.T, rule=inventory_rule)\n", + "\n", + "def pos_neg_rule(m, t):\n", + " return m.i[t] == m.i_pos[t] - m.i_neg[t]\n", + "model.pos_neg = pyo.Constraint(model.T, rule=pos_neg_rule)\n", + "\n", + "# create the big-M constraint for the production indicator variable\n", + "def prod_indicator_rule(m,t):\n", + " return m.x[t] <= P*m.y[t]\n", + "model.prod_indicator = pyo.Constraint(model.T, rule=prod_indicator_rule)\n", + "\n", + "# define the cost function\n", + "def obj_rule(m):\n", + " return sum(c*m.y[t] + h_pos*m.i_pos[t] + h_neg*m.i_neg[t] for t in m.T)\n", + "model.obj = pyo.Objective(rule=obj_rule)\n", + "\n", + "# solve the problem\n", + "solver = pyo.SolverFactory('glpk')\n", + "solver.solve(model)\n", + "\n", + "# print the results\n", + "for t in model.T:\n", + " print('Period: {0}, Prod. Amount: {1}'.format(t, pyo.value(model.x[t]))) \n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 1.md b/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 1.md new file mode 100644 index 00000000..2e289abb --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 1.md @@ -0,0 +1 @@ +# Exercises 1 \ No newline at end of file diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 2.md b/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 2.md new file mode 100644 index 00000000..7219bf8f --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 2.md @@ -0,0 +1 @@ +# Exercises 2 \ No newline at end of file diff --git a/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 3.md b/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 3.md new file mode 100644 index 00000000..5bc20096 --- /dev/null +++ b/_build/html/_sources/Material/Pyomo Fundamentals/Exercises 3.md @@ -0,0 +1 @@ +# Exercises 3 \ No newline at end of file diff --git a/_build/html/_sources/Material/References.md b/_build/html/_sources/Material/References.md new file mode 100644 index 00000000..2af22622 --- /dev/null +++ b/_build/html/_sources/Material/References.md @@ -0,0 +1,6 @@ +# References +Hart, W. E., Laird, C. D., Watson, J. P., Woodruff, D. L., Hackebeil, G.A., Nicholson, B. L., and Siirola, J. D. Pyomo: Optimization Modeling in Python (Second Edition), Vol (67), Springer Verlag, 2017. + +      Kjetil K. Haugen, Arne Lkketangen,and David L. Woodruff. Progressive hedging as a meta-heuristic applied to stochastic lot-sizing. European Journal of Operational Research, 132(1):116 122, 2001 + +      B.W. Bequette. Process control: modeling, design, and simulation. Prentice Hall 2003. \ No newline at end of file diff --git a/_build/html/_sources/README.md b/_build/html/_sources/README.md new file mode 100644 index 00000000..06e1a1cf --- /dev/null +++ b/_build/html/_sources/README.md @@ -0,0 +1,14 @@ +# pyomo_jupyter_book +A conversion of the Pyomo workshop into a jupyter book + +Find the companion website [here](https://secquoia.github.io/pyomo_jupyter_book/intro.html) + + +### How to build locally +Ensure you've opened the directory of the jupyter-book as the working directory. You should have a _config.yml and _toc.yml file in this directory. Make sure you're in a virtual environment. Install jupyter-book is using: +`pip install jupyter-book` +then +`jupyter-book build ./` +to build the current working directory into a jupyter-book. + +The html is in the folder `_build\html\` and you can preview the book by opening the file `_build\html\index.html` \ No newline at end of file diff --git a/_build/html/_sources/intro.md b/_build/html/_sources/intro.md new file mode 100644 index 00000000..a8b39111 --- /dev/null +++ b/_build/html/_sources/intro.md @@ -0,0 +1,4 @@ +# Pyomo Workshop + +```{tableofcontents} +``` diff --git a/_build/html/_sources/markdown-notebooks.ipynb b/_build/html/_sources/markdown-notebooks.ipynb new file mode 100644 index 00000000..9dd72745 --- /dev/null +++ b/_build/html/_sources/markdown-notebooks.ipynb @@ -0,0 +1,105 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "470f7116", + "metadata": {}, + "source": [ + "# Notebooks with MyST Markdown\n", + "\n", + "Jupyter Book also lets you write text-based notebooks using MyST Markdown.\n", + "See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions.\n", + "This page shows off a notebook written in MyST Markdown.\n", + "\n", + "## An example cell\n", + "\n", + "With MyST Markdown, you can define code cells with a directive like so:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "bf315d7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4\n" + ] + } + ], + "source": [ + "print(2 + 2)" + ] + }, + { + "cell_type": "markdown", + "id": "d9b2cbae", + "metadata": {}, + "source": [ + "When your book is built, the contents of any `{code-cell}` blocks will be\n", + "executed with your default Jupyter kernel, and their outputs will be displayed\n", + "in-line with the rest of your content.\n", + "\n", + "```{seealso}\n", + "Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html).\n", + "```\n", + "\n", + "## Create a notebook with MyST Markdown\n", + "\n", + "MyST Markdown notebooks are defined by two things:\n", + "\n", + "1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed).\n", + " See the YAML at the top of this page for example.\n", + "2. The presence of `{code-cell}` directives, which will be executed with your book.\n", + "\n", + "That's all that is needed to get started!\n", + "\n", + "## Quickly add YAML metadata for MyST Notebooks\n", + "\n", + "If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command:\n", + "\n", + "```\n", + "jupyter-book myst init path/to/markdownfile.md\n", + "```" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.11.5" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + }, + "source_map": [ + 13, + 25, + 27 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/_build/html/_sources/markdown-notebooks.md b/_build/html/_sources/markdown-notebooks.md new file mode 100644 index 00000000..a057a320 --- /dev/null +++ b/_build/html/_sources/markdown-notebooks.md @@ -0,0 +1,53 @@ +--- +jupytext: + formats: md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.11.5 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# Notebooks with MyST Markdown + +Jupyter Book also lets you write text-based notebooks using MyST Markdown. +See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions. +This page shows off a notebook written in MyST Markdown. + +## An example cell + +With MyST Markdown, you can define code cells with a directive like so: + +```{code-cell} +print(2 + 2) +``` + +When your book is built, the contents of any `{code-cell}` blocks will be +executed with your default Jupyter kernel, and their outputs will be displayed +in-line with the rest of your content. + +```{seealso} +Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html). +``` + +## Create a notebook with MyST Markdown + +MyST Markdown notebooks are defined by two things: + +1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed). + See the YAML at the top of this page for example. +2. The presence of `{code-cell}` directives, which will be executed with your book. + +That's all that is needed to get started! + +## Quickly add YAML metadata for MyST Notebooks + +If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command: + +``` +jupyter-book myst init path/to/markdownfile.md +``` diff --git a/_build/html/_sphinx_design_static/design-tabs.js b/_build/html/_sphinx_design_static/design-tabs.js new file mode 100644 index 00000000..b25bd6a4 --- /dev/null +++ b/_build/html/_sphinx_design_static/design-tabs.js @@ -0,0 +1,101 @@ +// @ts-check + +// Extra JS capability for selected tabs to be synced +// The selection is stored in local storage so that it persists across page loads. + +/** + * @type {Record} + */ +let sd_id_to_elements = {}; +const storageKeyPrefix = "sphinx-design-tab-id-"; + +/** + * Create a key for a tab element. + * @param {HTMLElement} el - The 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+figcaption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text, +figcaption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist { + margin: 1em 0; +} + +table.hlist td { + vertical-align: top; +} + +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; +} + +.sig-name, code.descname { + background-color: transparent; + font-weight: bold; +} + +.sig-name { + font-size: 1.1em; +} + +code.descname { + font-size: 1.2em; +} + +.sig-prename, code.descclassname { + background-color: transparent; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.sig-param.n { + font-style: italic; +} + +/* C++ specific styling */ + +.sig-inline.c-texpr, +.sig-inline.cpp-texpr { + font-family: unset; +} + +.sig.c .k, .sig.c .kt, +.sig.cpp .k, .sig.cpp .kt { + color: #0033B3; +} + +.sig.c .m, +.sig.cpp .m { + color: #1750EB; +} + +.sig.c .s, .sig.c .sc, +.sig.cpp .s, .sig.cpp .sc { + color: #067D17; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +:not(li) > ol > li:first-child > :first-child, +:not(li) > ul > li:first-child > :first-child { + margin-top: 0px; +} + +:not(li) > ol > li:last-child > :last-child, +:not(li) > ul > li:last-child > :last-child { + margin-bottom: 0px; +} + +ol.simple ol p, +ol.simple ul p, +ul.simple ol p, +ul.simple ul p { + margin-top: 0; +} + +ol.simple > li:not(:first-child) > p, +ul.simple > li:not(:first-child) > p { + margin-top: 0; +} + +ol.simple p, +ul.simple p { + margin-bottom: 0; +} + +aside.footnote > span, +div.citation > span { + float: left; +} +aside.footnote > span:last-of-type, +div.citation > span:last-of-type { + padding-right: 0.5em; +} +aside.footnote > p { + margin-left: 2em; +} +div.citation > p { + margin-left: 4em; +} +aside.footnote > p:last-of-type, +div.citation > p:last-of-type { + margin-bottom: 0em; +} +aside.footnote > p:last-of-type:after, +div.citation > p:last-of-type:after { + content: ""; + clear: both; +} + +dl.field-list { + display: grid; + grid-template-columns: fit-content(30%) auto; +} + +dl.field-list > dt { + font-weight: bold; + word-break: break-word; + padding-left: 0.5em; + padding-right: 5px; +} + +dl.field-list > dd { + padding-left: 0.5em; + margin-top: 0em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > :first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +.sig dd { + margin-top: 0px; + margin-bottom: 0px; +} + +.sig dl { + margin-top: 0px; + margin-bottom: 0px; +} + +dl > dd:last-child, +dl > dd:last-child > :last-child { + margin-bottom: 0; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + font-weight: bold; + font-size: 1.1em; +} + +.versionmodified { + font-style: italic; +} + +.system-message { + background-color: #fda; + padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0 0.5em; + content: ":"; + display: inline-block; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +.translated { + background-color: rgba(207, 255, 207, 0.2) +} + +.untranslated { + background-color: rgba(255, 207, 207, 0.2) +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +pre, div[class*="highlight-"] { + clear: both; +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; + white-space: nowrap; +} + +div[class*="highlight-"] { + margin: 1em 0; +} + +td.linenos pre { + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + display: block; +} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; +} + +table.highlighttable td { + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; +} + +div.code-block-caption { + margin-top: 1em; + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + margin: 1em 0; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: absolute; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/_build/html/_static/check-solid.svg b/_build/html/_static/check-solid.svg new file mode 100644 index 00000000..92fad4b5 --- /dev/null +++ b/_build/html/_static/check-solid.svg @@ -0,0 +1,4 @@ + + + + diff --git a/_build/html/_static/clipboard.min.js b/_build/html/_static/clipboard.min.js new file mode 100644 index 00000000..54b3c463 --- /dev/null +++ b/_build/html/_static/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.8 + * https://clipboardjs.com/ + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1 + + + + diff --git a/_build/html/_static/copybutton.css b/_build/html/_static/copybutton.css new file mode 100644 index 00000000..f1916ec7 --- /dev/null +++ b/_build/html/_static/copybutton.css @@ -0,0 +1,94 @@ +/* Copy buttons */ +button.copybtn { + position: absolute; + display: flex; + top: .3em; + right: .3em; + width: 1.7em; + height: 1.7em; + opacity: 0; + transition: opacity 0.3s, border .3s, background-color .3s; + user-select: none; + padding: 0; + border: none; + outline: none; + border-radius: 0.4em; + /* The colors that GitHub uses */ + border: #1b1f2426 1px solid; + background-color: #f6f8fa; + color: #57606a; +} + +button.copybtn.success { + border-color: #22863a; + color: #22863a; +} + +button.copybtn svg { + stroke: currentColor; + width: 1.5em; + height: 1.5em; + padding: 0.1em; +} + +div.highlight { + position: relative; +} + +/* Show the copybutton */ +.highlight:hover button.copybtn, button.copybtn.success { + opacity: 1; +} + +.highlight button.copybtn:hover { + background-color: rgb(235, 235, 235); +} + +.highlight button.copybtn:active { + background-color: rgb(187, 187, 187); +} + +/** + * A minimal CSS-only tooltip copied from: + * https://codepen.io/mildrenben/pen/rVBrpK + * + * To use, write HTML like the following: + * + *

    Short

    + */ + .o-tooltip--left { + position: relative; + } + + .o-tooltip--left:after { + opacity: 0; + visibility: hidden; + position: absolute; + content: attr(data-tooltip); + padding: .2em; + font-size: .8em; + left: -.2em; + background: grey; + color: white; + white-space: nowrap; + z-index: 2; + border-radius: 2px; + transform: translateX(-102%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} + +.o-tooltip--left:hover:after { + display: block; + opacity: 1; + visibility: visible; + transform: translateX(-100%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); + transition-delay: .5s; +} + +/* By default the copy button shouldn't show up when printing a page */ +@media print { + button.copybtn { + display: none; + } +} diff --git a/_build/html/_static/copybutton.js b/_build/html/_static/copybutton.js new file mode 100644 index 00000000..2ea7ff3e --- /dev/null +++ b/_build/html/_static/copybutton.js @@ -0,0 +1,248 @@ +// Localization support +const messages = { + 'en': { + 'copy': 'Copy', + 'copy_to_clipboard': 'Copy to clipboard', + 'copy_success': 'Copied!', + 'copy_failure': 'Failed to copy', + }, + 'es' : { + 'copy': 'Copiar', + 'copy_to_clipboard': 'Copiar al portapapeles', + 'copy_success': '¡Copiado!', + 'copy_failure': 'Error al copiar', + }, + 'de' : { + 'copy': 'Kopieren', + 'copy_to_clipboard': 'In die Zwischenablage kopieren', + 'copy_success': 'Kopiert!', + 'copy_failure': 'Fehler beim Kopieren', + }, + 'fr' : { + 'copy': 'Copier', + 'copy_to_clipboard': 'Copier dans le presse-papier', + 'copy_success': 'Copié !', + 'copy_failure': 'Échec de la copie', + }, + 'ru': { + 'copy': 'Скопировать', + 'copy_to_clipboard': 'Скопировать в буфер', + 'copy_success': 'Скопировано!', + 'copy_failure': 'Не удалось скопировать', + }, + 'zh-CN': { + 'copy': '复制', + 'copy_to_clipboard': '复制到剪贴板', + 'copy_success': '复制成功!', + 'copy_failure': '复制失败', + }, + 'it' : { + 'copy': 'Copiare', + 'copy_to_clipboard': 'Copiato negli appunti', + 'copy_success': 'Copiato!', + 'copy_failure': 'Errore durante la copia', + } +} + +let locale = 'en' +if( document.documentElement.lang !== undefined + && messages[document.documentElement.lang] !== undefined ) { + locale = document.documentElement.lang +} + +let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT; +if (doc_url_root == '#') { + doc_url_root = ''; +} + +/** + * SVG files for our copy buttons + */ +let iconCheck = ` + ${messages[locale]['copy_success']} + + +` + +// If the user specified their own SVG use that, otherwise use the default +let iconCopy = ``; +if (!iconCopy) { + iconCopy = ` + ${messages[locale]['copy_to_clipboard']} + + + +` +} + +/** + * Set up copy/paste for code blocks + */ + +const runWhenDOMLoaded = cb => { + if (document.readyState != 'loading') { + cb() + } else if (document.addEventListener) { + document.addEventListener('DOMContentLoaded', cb) + } else { + document.attachEvent('onreadystatechange', function() { + if (document.readyState == 'complete') cb() + }) + } +} + +const codeCellId = index => `codecell${index}` + +// Clears selected text since ClipboardJS will select the text when copying +const clearSelection = () => { + if (window.getSelection) { + window.getSelection().removeAllRanges() + } else if (document.selection) { + document.selection.empty() + } +} + +// Changes tooltip text for a moment, then changes it back +// We want the timeout of our `success` class to be a bit shorter than the +// tooltip and icon change, so that we can hide the icon before changing back. +var timeoutIcon = 2000; +var timeoutSuccessClass = 1500; + +const temporarilyChangeTooltip = (el, oldText, newText) => { + el.setAttribute('data-tooltip', newText) + el.classList.add('success') + // Remove success a little bit sooner than we change the tooltip + // So that we can use CSS to hide the copybutton first + setTimeout(() => el.classList.remove('success'), timeoutSuccessClass) + setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon) +} + +// Changes the copy button icon for two seconds, then changes it back +const temporarilyChangeIcon = (el) => { + el.innerHTML = iconCheck; + setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon) +} + +const addCopyButtonToCodeCells = () => { + // If ClipboardJS hasn't loaded, wait a bit and try again. This + // happens because we load ClipboardJS asynchronously. + if (window.ClipboardJS === undefined) { + setTimeout(addCopyButtonToCodeCells, 250) + return + } + + // Add copybuttons to all of our code cells + const COPYBUTTON_SELECTOR = 'div.highlight pre'; + const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR) + codeCells.forEach((codeCell, index) => { + const id = codeCellId(index) + codeCell.setAttribute('id', id) + + const clipboardButton = id => + `` + codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) + }) + +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} + + +var copyTargetText = (trigger) => { + var target = document.querySelector(trigger.attributes['data-clipboard-target'].value); + + // get filtered text + let exclude = '.linenos'; + + let text = filterText(target, exclude); + return formatCopyText(text, '', false, true, true, true, '', '') +} + + // Initialize with a callback so we can modify the text before copy + const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText}) + + // Update UI with error/success messages + clipboard.on('success', event => { + clearSelection() + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success']) + temporarilyChangeIcon(event.trigger) + }) + + clipboard.on('error', event => { + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure']) + }) +} + +runWhenDOMLoaded(addCopyButtonToCodeCells) \ No newline at end of file diff --git a/_build/html/_static/copybutton_funcs.js b/_build/html/_static/copybutton_funcs.js new file mode 100644 index 00000000..dbe1aaad --- /dev/null +++ b/_build/html/_static/copybutton_funcs.js @@ -0,0 +1,73 @@ +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +export function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} diff --git a/_build/html/_static/design-tabs.js b/_build/html/_static/design-tabs.js new file mode 100644 index 00000000..b25bd6a4 --- /dev/null +++ b/_build/html/_static/design-tabs.js @@ -0,0 +1,101 @@ +// @ts-check + +// Extra JS capability for selected tabs to be synced +// The selection is stored in local storage so that it persists across page loads. + +/** + * @type {Record} + */ +let sd_id_to_elements = {}; +const storageKeyPrefix = "sphinx-design-tab-id-"; + +/** + * Create a key for a tab element. + * @param {HTMLElement} el - The tab element. + * @returns {[string, string, string] | null} - The key. + * + */ +function create_key(el) { + let syncId = el.getAttribute("data-sync-id"); + let syncGroup = el.getAttribute("data-sync-group"); + if (!syncId || !syncGroup) return null; + return [syncGroup, syncId, syncGroup + "--" + syncId]; +} + +/** + * Initialize the tab selection. + * + */ +function ready() { + // Find all tabs with sync data + + /** @type {string[]} */ + let groups = []; + + document.querySelectorAll(".sd-tab-label").forEach((label) => { + if (label instanceof HTMLElement) { + let data = create_key(label); + if (data) { + let [group, id, key] = data; + + // add click event listener + // @ts-ignore + label.onclick = onSDLabelClick; + + // store map of key to elements + if (!sd_id_to_elements[key]) { + sd_id_to_elements[key] = []; + } + sd_id_to_elements[key].push(label); + + if (groups.indexOf(group) === -1) { + groups.push(group); + // Check if a specific tab has been selected via URL parameter + const tabParam = new URLSearchParams(window.location.search).get( + group + ); + if (tabParam) { + console.log( + "sphinx-design: Selecting tab id for group '" + + group + + "' from URL parameter: " + + tabParam + ); + window.sessionStorage.setItem(storageKeyPrefix + group, tabParam); + } + } + + // Check is a specific tab has been selected previously + let previousId = window.sessionStorage.getItem( + storageKeyPrefix + group + ); + if (previousId === id) { + // console.log( + // "sphinx-design: Selecting tab from session storage: " + id + // ); + // @ts-ignore + label.previousElementSibling.checked = true; + } + } + } + }); +} + +/** + * Activate other tabs with the same sync id. + * + * @this {HTMLElement} - The element that was clicked. + */ +function onSDLabelClick() { + let data = create_key(this); + if (!data) return; + let [group, id, key] = data; + for (const label of sd_id_to_elements[key]) { + if (label === this) continue; + // @ts-ignore + label.previousElementSibling.checked = true; + } + window.sessionStorage.setItem(storageKeyPrefix + group, id); +} + +document.addEventListener("DOMContentLoaded", ready, false); diff --git a/_build/html/_static/doctools.js b/_build/html/_static/doctools.js new file mode 100644 index 00000000..4d67807d --- /dev/null +++ b/_build/html/_static/doctools.js @@ -0,0 +1,156 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Base JavaScript utilities for all Sphinx HTML documentation. + * + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ +"use strict"; + +const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([ + "TEXTAREA", + "INPUT", + "SELECT", + "BUTTON", +]); + +const _ready = (callback) => { + if (document.readyState !== "loading") { + callback(); + } else { + document.addEventListener("DOMContentLoaded", callback); + } +}; + +/** + * Small JavaScript module for the documentation. + */ +const Documentation = { + init: () => { + Documentation.initDomainIndexTable(); + Documentation.initOnKeyListeners(); + }, + + /** + * i18n support + */ + TRANSLATIONS: {}, + PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), + LOCALE: "unknown", + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext: (string) => { + const translated = Documentation.TRANSLATIONS[string]; + switch (typeof translated) { + case "undefined": + return string; // no translation + case "string": + return translated; // translation exists + default: + return translated[0]; // (singular, plural) translation tuple exists + } + }, + + ngettext: (singular, plural, n) => { + const translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated !== "undefined") + return translated[Documentation.PLURAL_EXPR(n)]; + return n === 1 ? singular : plural; + }, + + addTranslations: (catalog) => { + Object.assign(Documentation.TRANSLATIONS, catalog.messages); + Documentation.PLURAL_EXPR = new Function( + "n", + `return (${catalog.plural_expr})` + ); + Documentation.LOCALE = catalog.locale; + }, + + /** + * helper function to focus on search bar + */ + focusSearchBar: () => { + document.querySelectorAll("input[name=q]")[0]?.focus(); + }, + + /** + * Initialise the domain index toggle buttons + */ + initDomainIndexTable: () => { + const toggler = (el) => { + const idNumber = el.id.substr(7); + const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); + if (el.src.substr(-9) === "minus.png") { + el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; + toggledRows.forEach((el) => (el.style.display = "none")); + } 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b/_build/html/_static/language_data.js new file mode 100644 index 00000000..367b8ed8 --- /dev/null +++ b/_build/html/_static/language_data.js @@ -0,0 +1,199 @@ +/* + * language_data.js + * ~~~~~~~~~~~~~~~~ + * + * This script contains the language-specific data used by searchtools.js, + * namely the list of stopwords, stemmer, scorer and splitter. + * + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"]; + + +/* Non-minified version is copied as a separate JS file, if available */ + +/** + * Porter Stemmer + */ +var Stemmer = function() { + + var step2list = { + ational: 'ate', + tional: 'tion', + enci: 'ence', + anci: 'ance', + izer: 'ize', + bli: 'ble', + alli: 'al', + entli: 'ent', + eli: 'e', + ousli: 'ous', + ization: 'ize', + ation: 'ate', + ator: 'ate', + alism: 'al', + iveness: 'ive', + fulness: 'ful', + ousness: 'ous', + aliti: 'al', + iviti: 'ive', + biliti: 'ble', + logi: 'log' + }; + + var step3list = { + icate: 'ic', + ative: '', + alize: 'al', + iciti: 'ic', + ical: 'ic', + ful: '', + ness: '' + }; + + var c = "[^aeiou]"; // consonant + var v = "[aeiouy]"; // vowel + var C = c + "[^aeiouy]*"; // consonant sequence + var V = v + "[aeiou]*"; // vowel sequence + + var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 + var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 + var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 + var s_v = "^(" + C + ")?" + v; // vowel in stem + + this.stemWord = function (w) { + var stem; + var suffix; + var firstch; + var origword = w; + + if (w.length < 3) + return w; + + var re; + var re2; + var re3; + var re4; + + firstch = w.substr(0,1); + if (firstch == "y") + w = firstch.toUpperCase() + w.substr(1); + + // Step 1a + re = /^(.+?)(ss|i)es$/; + re2 = /^(.+?)([^s])s$/; + + if (re.test(w)) + w = w.replace(re,"$1$2"); + else if (re2.test(w)) + w = w.replace(re2,"$1$2"); + + // Step 1b + re = /^(.+?)eed$/; + re2 = /^(.+?)(ed|ing)$/; + if (re.test(w)) { + var fp = re.exec(w); + re = new RegExp(mgr0); + if (re.test(fp[1])) { + re = /.$/; + w = w.replace(re,""); + } + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = new RegExp(s_v); + if (re2.test(stem)) { + w = stem; + re2 = /(at|bl|iz)$/; + re3 = new RegExp("([^aeiouylsz])\\1$"); + re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + if (re.test(stem)) + w = stem; + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = new RegExp(mgr1); + if (re2.test(stem)) + w = stem; + } + + // Step 5 + re = /^(.+?)e$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + re2 = new RegExp(meq1); + re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) + w = stem; + } + re = /ll$/; + re2 = new RegExp(mgr1); + if (re.test(w) && re2.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + + // and turn initial Y back to y + if (firstch == "y") + w = firstch.toLowerCase() + w.substr(1); + return w; + } +} + diff --git a/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..15541a6a375f93efed3f410c2f892174ba91aaa0 GIT binary patch literal 1541 zcmZvaJ!}+56vrn40$lhsA5n;v39lh z&UUPnK|(?lfROD&7suGxxK0yMQ@o*|gesy+5vu&(?mBh?qn-WTn|=G<|NZw~b#1&Y zus*}?#(shQ752{`;fA&4V5qyTPS`e-!60i}(%5{r(0^;D!zP`#V66yFspV7<>kvF5*86z5`j$ z=8ez}?gu^a8}Li;DtHLIQScsk0P*i2&-V)CK7WC%Q*07qAJ7GU4juvd{a%p0tQWim zeu4N7$oY#!{2XK-Ul-?ZLAIP{VE@?5Oee^5uV0WLc46~8yjT}6*2P}4uiOhI#i!V; zXZ>RTx%Xyl*phu;(K~`m+PV^FjkZeL1V5sYI1K7moHI9c!}v9+ja5U&{2;G|4YhWh zm^7}c{~g+Tn8?Tvl<2F47Nu9i{l>4L9=6uy?FAD0FiY3w(=eiIKTWvQbqOe&{(Wd5^qM9YH}dGcsaNzja& zq-k29Wt#nO;9At7wwrWQc-|J&abpO^Bu%@f8>dB@7kE5QPu!GiO4q{asH8bJN^P3Y zvv7uYJM=8C@P0OzYSB}gLot+ZNt#(-bAo@Zj6?Yfp?anYnoPQR?;I# z{we#%LHPn31obOfkF`-+I9KUX>gUj zW@~ literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..34d404c6 --- /dev/null +++ b/_build/html/_static/locales/ar/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ar\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "طباعة إلى PDF" + +msgid "Theme by the" +msgstr "موضوع بواسطة" + +msgid "Download source file" +msgstr "تنزيل ملف المصدر" + +msgid "open issue" +msgstr "قضية مفتوحة" + +msgid "Contents" +msgstr "محتويات" + +msgid "previous page" +msgstr "الصفحة السابقة" + +msgid "Download notebook file" +msgstr "تنزيل ملف دفتر الملاحظات" + +msgid "Copyright" +msgstr "حقوق النشر" + +msgid "Download this page" +msgstr "قم بتنزيل هذه الصفحة" + +msgid "Source repository" +msgstr "مستودع المصدر" + +msgid "By" +msgstr "بواسطة" + +msgid "repository" +msgstr "مخزن" + +msgid "Last updated on" +msgstr "آخر تحديث في" + +msgid "Toggle navigation" +msgstr "تبديل التنقل" + +msgid "Sphinx Book Theme" +msgstr "موضوع كتاب أبو الهول" + +msgid "suggest edit" +msgstr "أقترح تحرير" + +msgid "Open an issue" +msgstr "افتح قضية" + +msgid "Launch" +msgstr "إطلاق" + +msgid "Fullscreen mode" +msgstr "وضع ملء الشاشة" + +msgid "Edit this page" +msgstr "قم بتحرير هذه الصفحة" + +msgid "By the" +msgstr "بواسطة" + +msgid "next page" +msgstr "الصفحة التالية" diff --git a/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..da95120037f8d7c52ad1f166a7682ea55ca47a01 GIT binary patch literal 1708 zcmaKqOKcQJ5QaOv0vkhkhC?jT2nh&cNkBwFYxY90B_t3AOpcMpyUpy7b@wpSL+}lZ zc_s=RKte*|C2`<_7URcy7jLdPR->G9h;qvTamgjhjlX8bj}R-P?fIs=y6dm{dw*ZQ z?5@DG8KWEHSBxzfKYoB0o|Q|4z)!5gYX#T^t^_xLtH5sX6L34Y5iEo2!IR(`P=OzV zHs>hFdG3I#!TVqr_zYYJPUie2U;izi{|U0*KVSh|x->h#2IP4+$a!{vO>jTB41AmO zFOci|8~haPLhws)C%7B@Hs=rEKFpioR`3nD2VA{8JAV*le@=j0?>TT6cp2OVJ_ot4 z*WiBe50LY0LeuQ=S0K-igY45ea0fUFvgOv1JgO3NWrRpO`@TbYDa&#J04 z8uLU~YT|f^4W5=k94AWjM}bBXBl{2ciBp+gq(T!1)p!vCDOMX z%z7FyzF${Td*=h+vjIf3x?r>F4C`bfVWiFnCdtcQkUma)U!h8cPEd+Dt17m5q+0w& zMKQ9KWTsza{bH(IICkV%?|gjko-YcyvBiPmP?e-b0iTC;FVH=*QuCr%+4AXuzT$!T zeUYc*Gb$?f>WZlb+AqligMlp^^|YVB*ODCc3;p#Z^6JGt6Ai^Bsl#*{m-qF^?6bU6 z%dKU(_p_dYpa*V5&_n77dhBk}xVz~t(j+x#hMF`X=r)bH5$d>$?h>`ABk5bs2r;-dTfq#Q2#?t@q|9teP3*uNPWy^ACfqd~8<8}Y{+a1%CJzCK zxEruG6KALRIVJ-U$3Yy!~NpG7AK|w8QyPuG1485SvTmo%i zrHNb3JL61fEcXDLQBPwL`;mLLOPayeL#0F0B5ju4Yr5-c6aTq5cjf(V=MS}!0~aLI KlK*|VZ0$SA#iddJ literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..7420c19e --- /dev/null +++ b/_build/html/_static/locales/bg/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: bg\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Печат в PDF" + +msgid "Theme by the" +msgstr "Тема от" + +msgid "Download source file" +msgstr "Изтеглете изходния файл" + +msgid "open issue" +msgstr "отворен брой" + +msgid "Contents" +msgstr "Съдържание" + +msgid "previous page" +msgstr "предишна страница" + +msgid "Download notebook file" +msgstr "Изтеглете файла на бележника" + +msgid "Copyright" +msgstr "Авторско право" + +msgid "Download this page" +msgstr "Изтеглете тази страница" + +msgid "Source repository" +msgstr "Хранилище на източника" + +msgid "By" +msgstr "От" + +msgid "repository" +msgstr "хранилище" + +msgid "Last updated on" +msgstr "Последна актуализация на" + +msgid "Toggle navigation" +msgstr "Превключване на навигацията" + +msgid "Sphinx Book Theme" +msgstr "Тема на книгата Sphinx" + +msgid "suggest edit" +msgstr "предложи редактиране" + +msgid "Open an issue" +msgstr "Отворете проблем" + +msgid "Launch" +msgstr "Стартиране" + +msgid "Fullscreen mode" +msgstr "Режим на цял екран" + +msgid "Edit this page" +msgstr "Редактирайте тази страница" + +msgid "By the" +msgstr "По" + +msgid "next page" +msgstr "Следваща страница" diff --git a/_build/html/_static/locales/bn/LC_MESSAGES/booktheme.mo 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zxu;CEAr^xgZM{%PrEqqD`$N&!KBKt)RPHp%tyA?Xw}`Se37c!8k8_eTqth`htw3AZ zm~1S1a92z`@RU9C@Xu~NJj63$#L LZS{&p7>oY^Ev$2? literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/cs/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/cs/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..c6ef4690 --- /dev/null +++ b/_build/html/_static/locales/cs/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: cs\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Tisk do PDF" + +msgid "Theme by the" +msgstr "Téma od" + +msgid "Download source file" +msgstr "Stáhněte si zdrojový soubor" + +msgid "open issue" +msgstr "otevřené číslo" + +msgid "Contents" +msgstr "Obsah" + +msgid "previous page" +msgstr "předchozí stránka" + +msgid "Download notebook file" +msgstr "Stáhnout soubor poznámkového bloku" + +msgid "Copyright" +msgstr "autorská práva" + +msgid "Download this page" +msgstr "Stáhněte si tuto stránku" + +msgid "Source repository" +msgstr "Zdrojové úložiště" + +msgid "By" +msgstr "Podle" + +msgid "repository" +msgstr "úložiště" + +msgid "Last updated on" +msgstr "Naposledy aktualizováno" + +msgid "Toggle navigation" +msgstr "Přepnout navigaci" + +msgid "Sphinx Book Theme" +msgstr "Téma knihy Sfinga" + +msgid "suggest edit" +msgstr "navrhnout úpravy" + +msgid "Open an issue" +msgstr "Otevřete problém" + +msgid "Launch" +msgstr "Zahájení" + +msgid "Fullscreen mode" +msgstr "Režim celé obrazovky" + +msgid "Edit this page" +msgstr "Upravit tuto stránku" + +msgid "By the" +msgstr "Podle" + +msgid "next page" +msgstr "další strana" diff --git a/_build/html/_static/locales/da/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/da/LC_MESSAGES/booktheme.mo new file mode 100644 index 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zoCmHU$Afe<^%ebHTryT9ZaN#u#(;-<*Xy#1V#z(Q#;HPD7is9+wj60gd)vV!pVPk0 zSm_{ZRgzdPbcFPDxsr?txhJx6>8J8fdK zt=*csGQxpNwNctG%DhrOQ0(2=TFGwgz2}t;Bl6j@&0V2w*_AhjI(F8SEfezEl?8P+ zO!CTPE6$HYSK7K+hThdhIeF}TXXUw`ymDc&BbHF5O7u~OM`4rK)5Mn;Zwdn zburuA-y2y!aDY4^_ YHT)aX(-~_xf`&nTEYd88)4;9x4>RdeS^xk5 literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/de/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/de/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..4925360d --- /dev/null +++ b/_build/html/_static/locales/de/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: de\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "In PDF drucken" + +msgid "Theme by the" +msgstr "Thema von der" + +msgid "Download source file" +msgstr "Quelldatei herunterladen" + +msgid "open issue" +msgstr "offenes Thema" + +msgid "Contents" +msgstr "Inhalt" + +msgid "previous page" +msgstr "vorherige Seite" + +msgid "Download notebook file" +msgstr "Notebook-Datei herunterladen" + +msgid "Copyright" +msgstr "Urheberrechte ©" + +msgid "Download this page" +msgstr "Laden Sie diese Seite herunter" + +msgid "Source repository" +msgstr "Quell-Repository" + +msgid "By" +msgstr "Durch" + +msgid "repository" +msgstr "Repository" + +msgid "Last updated on" +msgstr "Zuletzt aktualisiert am" + +msgid "Toggle navigation" +msgstr "Navigation umschalten" + +msgid "Sphinx Book Theme" +msgstr "Sphinx-Buch-Thema" + +msgid "suggest edit" +msgstr "vorschlagen zu bearbeiten" + +msgid "Open an issue" +msgstr "Öffnen Sie ein Problem" + +msgid "Launch" +msgstr "Starten" + +msgid "Fullscreen mode" +msgstr "Vollbildmodus" + +msgid "Edit this page" +msgstr "Bearbeite diese Seite" + +msgid "By the" +msgstr "Bis zum" + +msgid "next page" +msgstr "Nächste Seite" diff --git a/_build/html/_static/locales/el/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/el/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..fca6e9355f314677f2890f5679fd79dd67a7a5a2 GIT binary patch literal 1722 zcmZ{iPiS047{Euewt4U5n=fkKPHMz8X+JKcS{dGGPw+nU_c zCZPt>L)D-XMN9P{m<`*yO}BBoS3#I}@#Mj)Cp~!cBL2SFE!h-0?96ZHoA3Yk{@Ax; zMX{b{53_$`KhIu%fP=N`L8bVq-5d|WJ#ZJ?4|l_1_!N8@J_(C(AAASyg$6zb(>@oV z`1uSz3RmGC_yc?b-t6<2zWn$8{ZAG}N=-3*|lx#m@-51&_iV@GtlX{0B;& z|G|Us0FOuETkutwLXlsEZ^B>UVYqXrQitFhQ0g-9MK}YWfvbJC;B(wFD1G=Fz66IT z_E|X6=LsnC_o4J>9*)3IptM|SkT~LFKU;E^x(64jsmIx3FH7o|CH<3LOJ5JLNx{`F zvmIQ7ax;7w(hfIYb$phePOCsWALdpYv;G zOPqxDxMc1Trd2=DkykNltn8<_zIz?7*J?>AHYU*1VcDqDUXtp1RQ6I+)?vWC9+ax; z?Fa=g(0-ECjhcx404JfII61D)_Tt4R3KKsK<5_h!s`|lJua|GifioP~!B0M6o&VhxLBi1MZW0rDDj^PzkAoADB{_KUL1ZXW|5J z1>K9Em-u-XId|sNnX#?+BZm&>`i;#`&PJx7QxbSBs(F4es!LTbPE1;ScXB*`Y)dcp zg5;cu^J76NEc-#FppQ-YY3{TaRO_9ar-jjaZW8iNR~zWhPCd 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charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: eo\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Presi al PDF" + +msgid "Theme by the" +msgstr "Temo de la" + +msgid "Download source file" +msgstr "Elŝutu fontodosieron" + +msgid "open issue" +msgstr "malferma numero" + +msgid "Contents" +msgstr "Enhavo" + +msgid "previous page" +msgstr "antaŭa paĝo" + +msgid "Download notebook file" +msgstr "Elŝutu kajeran dosieron" + +msgid "Copyright" +msgstr "Kopirajto" + +msgid "Download this page" +msgstr "Elŝutu ĉi tiun paĝon" + +msgid "Source repository" +msgstr "Fonto-deponejo" + +msgid "By" +msgstr "De" + +msgid "repository" +msgstr "deponejo" + +msgid "Last updated on" +msgstr "Laste ĝisdatigita la" + +msgid "Toggle navigation" +msgstr "Ŝalti navigadon" + +msgid "Sphinx Book Theme" +msgstr "Sfinksa Libro-Temo" + +msgid "suggest edit" +msgstr "sugesti redaktadon" + +msgid "Open an issue" +msgstr "Malfermu numeron" + +msgid "Launch" +msgstr "Lanĉo" + +msgid "Fullscreen mode" +msgstr "Plenekrana reĝimo" + +msgid "Edit this page" +msgstr "Redaktu ĉi tiun paĝon" + +msgid "By the" +msgstr "Per la" + +msgid "next page" +msgstr "sekva paĝo" diff --git a/_build/html/_static/locales/es/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/es/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..ba2ee4dc22148ed53f2aeba32c5965654d4a5a2f GIT binary patch literal 1396 zcmZ9Kzi$;s5XU#z;m3pU!zKwxjKJWQQZ~wEO{|$=X8*l*5%yj3EgEC(L#m|@E3-CIKPyLHQ^!@|o{A*Bj z4$La`8F(5z16~6q{%=5u|2}vYjQ#o}@F?a_K{@|BDEE2^ehj_>C4c{bvhUD`U0&uv z*?$p~_`U+=+!`qRz6aYpfs%6BBl;4{Ji6po;@;mNp-!U9Icai#X`&;(C9e__T(%nW zw)>mpL*DQZy5tBcRcdJ)pH3yKo8BdMDdMNz4yGuRTJ{f|^^|Mp6HmSWQEwW{d*1tzb%mTC1mCsq-qL_43=ae|t-eKOjtW>vaY#^sij18-e zU>uxyy|KKi?sj^CYadPWVO!m;OXD8uC5dfPa>c40^|ZUw#21BS?P$vslng{1KTKV8 zUUWKW55MCO;ccWl{h{a&Tjjy}+WN}g`qfKU z27O|OlkJ*EIw63|wI$;gbyiY{oW}PitHT?6`vSSR$zizSGM^h)jP#AENrPMDiUxTd zX^w*p+XS-1RUfK2(ynf&aeQr2cfaHFPM;g=s}~jrYQqQVnr;8cCiiNY181d=I%iD{ zk_k)9C=?Vlg{(ANUY4?kat==RzrVWKpj=Q5{Q{y&B&juy+NY=9viqbpt^2(7Sd&X+ zE$PfxwdF+Wo=v7AO<8KlnjOl_?lY%ZD#GnhWgz3#*VABvZk(=zpIWX+tyOg}6^wXC zsg65u%fhre9yJUf6KusrthQzv+672++(cecEV5X4sri<+xahTU@tQ2Tj8rs5BN4#T iU!*-mQ^Nsab@xTRCJqKkd{;ciD^w4Rh!536LH!R)!cyS? literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..5e0029e5 --- /dev/null +++ b/_build/html/_static/locales/es/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: es\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Imprimir en PDF" + +msgid "Theme by the" +msgstr "Tema por el" + +msgid "Download source file" +msgstr "Descargar archivo fuente" + +msgid "open issue" +msgstr "Tema abierto" + +msgid "Contents" +msgstr "Contenido" + +msgid "previous page" +msgstr "pagina anterior" + +msgid "Download notebook file" +msgstr "Descargar archivo de cuaderno" + +msgid "Copyright" +msgstr "Derechos de autor" + +msgid "Download this page" +msgstr "Descarga esta pagina" + +msgid "Source repository" +msgstr "Repositorio de origen" + +msgid "By" +msgstr "Por" + +msgid "repository" +msgstr "repositorio" + +msgid "Last updated on" +msgstr "Ultima actualización en" + +msgid "Toggle navigation" +msgstr "Navegación de palanca" + +msgid "Sphinx Book Theme" +msgstr "Tema del libro de la esfinge" + +msgid "suggest edit" +msgstr "sugerir editar" + +msgid "Open an issue" +msgstr "Abrir un problema" + +msgid "Launch" +msgstr "Lanzamiento" + +msgid "Fullscreen mode" +msgstr "Modo de pantalla completa" + +msgid "Edit this page" +msgstr "Edita esta página" + +msgid "By the" +msgstr "Por el" + +msgid "next page" +msgstr "siguiente página" diff --git a/_build/html/_static/locales/et/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/et/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..983b82391f499b67a9046c15d0dd8744650ad925 GIT binary patch literal 1341 zcmZ9Kzi%8x6vqb=^5gOYNC*@$VrY^ev%C-5~0q6cNoSQvQHcDIz*5N(ux8-*>yj7Nec{?37 zm@hCt!hG}w7K~$WDuqWK$8rQb2_6H_g2%xn@O|(C_#QX{&wyWnr$GYW22;<6py+%D zo&tXWPl7*z?}ESdeBSTB?Csw{@%I-v01qANzCR6$y#$KRMeqsu1$Y$v1AGho6Fdz5 z4az++J_JsIlKZFNIq(K3aoh#Zg45o90E(Y)LCNb!P;`Fo`2>{wpMm1IA0b zcW{Vb>7mpIdO`vjME%rCbb#Z zLB#9Ln`>&T^B1V~k&_R*YOAf;-PhM8wsB1jsl}?dyPU?psw`<|W?Y%XaN_8G>Z0@F zr*qN&8_XbscI- zgH4-*vBjDXO&n_1F3dRkd|7v|qf1VIJknP`Sstj{^T%OktXj#ancCu*yH}n+<|;=N z-jrOCj`OFMOqk`wddINU##;0GR19tBdvzi?e7zruw52+Aw>NT5Q%F&X%h*Lj=6f7z z8jNuq=-IE#jk<#c{m?m+L;rJ$825O_Nq(D^8CKl}zio+{#UD_z^uJ)WVl7Wi?YTr` zTRZHgk)aH+jLK4D)OfM3BNeE1ohJ(1utQX6H>rE`y-+P|2~e4t1fZw$r;!^}gUIe5 P_MW2m5}a<3ol*Y+f5$~k literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..8680982a --- /dev/null +++ b/_build/html/_static/locales/et/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: et\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Prindi PDF-i" + +msgid "Theme by the" +msgstr "Teema" + +msgid "Download source file" +msgstr "Laadige alla lähtefail" + +msgid "open issue" +msgstr "avatud küsimus" + +msgid "Contents" +msgstr "Sisu" + +msgid "previous page" +msgstr "eelmine leht" + +msgid "Download notebook file" +msgstr "Laadige sülearvuti fail alla" + +msgid "Copyright" +msgstr "Autoriõigus" + +msgid "Download this page" +msgstr "Laadige see leht alla" + +msgid "Source repository" +msgstr "Allikahoidla" + +msgid "By" +msgstr "Kõrval" + +msgid "repository" +msgstr "hoidla" + +msgid "Last updated on" +msgstr "Viimati uuendatud" + +msgid "Toggle navigation" +msgstr "Lülita navigeerimine sisse" + +msgid "Sphinx Book Theme" +msgstr "Sfinksiraamatu teema" + +msgid "suggest edit" +msgstr "soovita muuta" + +msgid "Open an issue" +msgstr "Avage probleem" + +msgid "Launch" +msgstr "Käivitage" + +msgid "Fullscreen mode" +msgstr "Täisekraanirežiim" + +msgid "Edit this page" +msgstr "Muutke seda lehte" + +msgid "By the" +msgstr "Autor" + +msgid "next page" +msgstr "järgmine leht" diff --git a/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/fi/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..d8ac054597c924e3010f629caeac1c748b7211cd GIT binary patch literal 1368 zcmZ9KJ#5r46vquMU&lA4Af!r|g^wXX5kqz52B58kprWEjclYv|xbfLh>>S*}#K;Cr 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plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Tulosta PDF-tiedostoon" + +msgid "Theme by the" +msgstr "Teeman tekijä" + +msgid "Download source file" +msgstr "Lataa lähdetiedosto" + +msgid "open issue" +msgstr "avoin ongelma" + +msgid "Contents" +msgstr "Sisällys" + +msgid "previous page" +msgstr "Edellinen sivu" + +msgid "Download notebook file" +msgstr "Lataa muistikirjatiedosto" + +msgid "Copyright" +msgstr "Tekijänoikeus" + +msgid "Download this page" +msgstr "Lataa tämä sivu" + +msgid "Source repository" +msgstr "Lähteen arkisto" + +msgid "By" +msgstr "Tekijä" + +msgid "repository" +msgstr "arkisto" + +msgid "Last updated on" +msgstr "Viimeksi päivitetty" + +msgid "Toggle navigation" +msgstr "Vaihda navigointia" + +msgid "Sphinx Book Theme" +msgstr "Sphinx-kirjan teema" + +msgid "suggest edit" +msgstr "ehdottaa muokkausta" + +msgid "Open an issue" +msgstr "Avaa ongelma" + +msgid "Launch" +msgstr "Tuoda markkinoille" + +msgid "Fullscreen mode" +msgstr "Koko näytön tila" + +msgid "Edit this page" +msgstr "Muokkaa tätä sivua" + +msgid "By the" +msgstr "Mukaan" + +msgid "next page" +msgstr "seuraava sivu" diff --git a/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..f663d39f0faa76c5b9bd504c51252eef74cca5de GIT binary patch literal 1412 zcmZ{jJ!}+56vv0pm9t{vhm&8^IIO`h6wqyy*798~B-FLeKdo!!~aIl*+ zlr)i&DosjGX-Sm+nxs!ffzqWyh>mpmzuUEJBQe_9-_FOq|NFX^vnPL27*{aoG5^N= z4D;zRyf9{tD}_g$!Rs`57MuYuf@i>a@G^KEoCEvdEO-|@2Qqjbj4hvlV&_NjBk*VN zEI0-~27hn)XS@HRUH=P;-hW^RJaMA={W(z9^Pt$d0saAg1L9Gy@DjZ@;0NGaQ2bFR zmAVF8043f<@DuPZcoBRAia+0jpMpPtqW^1q{u?N9{{>2%|FrAZpu~0hRC7KD%K8iN z5_lUFyPKf+qrt170VU-UgXB+gDSn8C=pG)BP!}*oSBAtdL+nayq9N(OOB9IrIvT`P%K$}>uh8j13v0qZ;CRi75AO3oX*L*$lK06qM@nyU^}?vGk#|? zmL^cG3s$SSi7>stTuW6IGS6&j2uDVy3#y+NH@oiA@h}HB>+f7UZR}>YK)jOup(LluVV6L*Ln| zlGjyt&G}L2k*%l8&|h4l=Cgm((zQMpFVk1~#tn>=qIhM|}`x`)$>jU}ieUbVvBn#nWIG%|r{ 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TA2+cw{Vw>h7Yg+MtLz81? literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..8991a1b8 --- /dev/null +++ b/_build/html/_static/locales/fr/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: fr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Imprimer au format PDF" + +msgid "Theme by the" +msgstr "Thème par le" + +msgid "Download source file" +msgstr "Télécharger le fichier source" + +msgid "open issue" +msgstr "signaler un problème" + +msgid "Contents" +msgstr "Contenu" + +msgid "previous page" +msgstr "page précédente" + +msgid "Download notebook file" +msgstr "Télécharger le fichier notebook" + +msgid "Copyright" +msgstr "droits d'auteur" + +msgid "Download this page" +msgstr "Téléchargez cette page" + +msgid "Source repository" +msgstr "Dépôt source" + +msgid "By" +msgstr "Par" + +msgid "repository" +msgstr "dépôt" + +msgid "Last updated on" +msgstr "Dernière mise à jour le" + +msgid "Toggle navigation" +msgstr "Basculer la navigation" + +msgid "Sphinx Book Theme" +msgstr "Thème du livre Sphinx" + +msgid "suggest edit" +msgstr "suggestion de modification" + +msgid "Open an issue" +msgstr "Ouvrez un problème" + +msgid "Launch" +msgstr "lancement" + +msgid "Fullscreen mode" +msgstr "Mode plein écran" + +msgid "Edit this page" +msgstr "Modifier cette page" + +msgid "By the" +msgstr "Par le" + +msgid "next page" +msgstr "page suivante" diff --git a/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/hr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..eca4a1a2842830f06bd5f6235bf01d07bdd313d2 GIT binary patch literal 1402 zcmZ9KJ!~9B6vu}+kmLvh)-Bbu!YZ&sL*)#Wq0oOW>)iY z#I7UJKoJQlD$3MIh{}~uqNJdrprN2bqC$d-|Jz;1r;K*?xAU?8_kVBZ_tmrCDzsP8 z*U*1Oe;xg+XYfKhe?}=h>H=QRffvE^;1%!!xCXugz6HJv4#8FMQ}7bV;EQ1F_z)DG zZ@?G8@4$=TWAG*L$BsXD^S^cDKS7E2FW3WDR@(nBfihkLMdxksC-6Fmt?DmO{`(sg z-~WN)YvpX4?<)8j#_OQu@i8cQeBP}`P-^oC6rIQ5W$*{^dGHvNe1GZqM>qcuD0MvZ zY`gv@DF5B)#v@RCe+FI!b5KeyIf$NkxPmU8B<^y9bfYDCNE01tQa`D+)KxSg*?1KH z%T4MpwK#{4ax`^Pw+`@7ELnZzY-Ae)KI#K+iZZI(?h9Kvos)Hu_nn*4eN*x2ba2UM z{M2MDO`uvAtTuBKA$>9&rK$>r--+ODxdTQVUeRy*EU zh&bB0JyN@EJkPZYCOUthcI(pE2XsrkjZ2=fYTmTp<}`LiQ88IPH-(M{K`cLrtve@i z+90*(xpAqpy(Aw}Q7~LGGJzF0;VkyI^8P*c0crzk0e zJ5}W`eCg#p>R8HV8p8`ORd-?8+@kgmPE(NjB4ZRZpsbXo1{+%JywM17c0!7$ZS zdp+04j?>}H5RL>u+?)6`B(!QC;nQ(E%YYHwOi5)9EgF2Tundr{ymsm2Z;f2mKh k(#nYgw(f}olqHrfw@Z7L48TfWxy6y8Q4`jSBkXa^hFIaGO(a}_Drr&ngPIpyPhwkKtCW1zS zxtWoenhB;xBBn-yn24D8zwTalu&Ao9Uv<5s{`Yli#|wdR9BT&a6V_?0r`xb$Ol}tf zQ|!UE3)}}zg45t0a0WaEo&}G9U2qD#3myOoJP3w{Pe6|I9NZ7S1owfj!NcI&h98>q z&yD>JoIl_+xD%H+@5zQ2!9%dS z4R3=dU_S)+f*T;`dD8G1$o{WD_Im?z{P&Ih5#&5yK-S?0$ohz#wGPuD`<((=a*oaa zSxfd~Z8_ffK#0nR_2t3u=fQPw4%YQ37D84vb8p87>(4#hjm4TkQX%F>m@;G}=B){2 zg2zWWayrd|Sg?;xZdD?U4b-=GDA#mOTgTo;H=zFxL#DkfRZ3zp(E*`1&83*aj(wjsI*=O>qg>UnQ5~j z=eV|BMg@s#m;L%pJ)5RENuwU=R0WMBhBiW7o#i}rlG4#5ZDUjRSa=`Plu#w%B`C$N z(;&2$llB909??3o&fn(z?J9F?WqD;KhDS6Yp*?cS)QjtnT^a+xb_X5}DL&Qs{# z?=7`&Y~6Fp_%(9vMKiF8HfcxR=o0auv z_q>s3y7KCU*_ODI6J+IW*=v!hp&aNkC~@B;F{`@wufgMIJ{Em)%}J(mRd82~uKPNE zu!45VT#b~I5H)6^M@|hh?PQ`$a((5ZmR_kKRwzf4qZ=wC=HgJvLU}~a#5@JmHKeM~ zcQ+dhueyjH6-vS(Hi{zy4lKXvX09`YYnog=urAe8uFQH2W~4-u2I{*$(n5sIJAG7C T@Rc+s5Lgrh10CRyRonjp5+F85 literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..b8d8d898 --- /dev/null +++ b/_build/html/_static/locales/id/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: id\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Cetak ke PDF" + +msgid "Theme by the" +msgstr "Tema oleh" + +msgid "Download source file" +msgstr "Unduh file sumber" + +msgid "open issue" +msgstr "masalah terbuka" + +msgid "Contents" +msgstr "Isi" + +msgid "previous page" +msgstr "halaman sebelumnya" + +msgid "Download notebook file" +msgstr "Unduh file notebook" + +msgid "Copyright" +msgstr "hak cipta" + +msgid "Download this page" +msgstr "Unduh halaman ini" + +msgid "Source repository" +msgstr "Repositori sumber" + +msgid "By" +msgstr "Oleh" + +msgid "repository" +msgstr "gudang" + +msgid "Last updated on" +msgstr "Terakhir diperbarui saat" + +msgid "Toggle navigation" +msgstr "Alihkan navigasi" + +msgid "Sphinx Book Theme" +msgstr "Tema Buku Sphinx" + +msgid "suggest edit" +msgstr "menyarankan edit" + +msgid "Open an issue" +msgstr "Buka masalah" + +msgid "Launch" +msgstr "Meluncurkan" + +msgid "Fullscreen mode" +msgstr "Mode layar penuh" + +msgid "Edit this page" +msgstr "Edit halaman ini" + +msgid "By the" +msgstr "Oleh" + +msgid "next page" +msgstr "halaman selanjutnya" diff --git a/_build/html/_static/locales/it/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/it/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..53ba476edd2df2a802917e9df402257ceca1a130 GIT binary patch literal 1403 zcmZXSJ&aXF6vsyafhY1QYQiQS8W$5EU!j1vc?Gb$351Os-eM!oynD~ycVOPkWoGWm zTH9#}m5qrNiM6q@vN55xvLLatGO@6+(D*<1-gP%Hxii0e=Htvc|2Z#C?tf~~-bG(P z{{{Vh^sipSfOhD0WAK^77~TMnfQP_S;9+n9db5tC&9bmQINr7VD9+^sD7S+ zZ-HNfN5E&`3Gn-#Klk&$_V(|f-uE{+0Qc?d&L0KUUI5k4BKQM%1;keK2Z+!7i9yf* z1s(_g1vTGe`;B=I{0KY^u7H})r~P~cRhutC&HGzW&wmGM{6B(v?m2h{{0%$^{sW!` z4;<+7S_JjnwcfrBYTWn1Q(y(ER@tjRN(zMHIBUF`R@^(uqn+2D6ew@4L zg5J|zQb*pB(DY&Nai5y1VnoTv1fhfnT;$=ca`*|y1aBki?jP#?!}jLE+O4&f-Stc7 zFAjQPha1~9k0>L63$?T2m#CQ8m^hE`ZLAKj?(U1$r%jH-6<>r>d^Mu0Q^|un)>jR5 z9TALm*F@`vt0B(QhBFUgSr)TwUH`yMh9yxlG%Xix0~y&& z3LB-cB(8l-D%nxCMbU^4uPmkzD-_D^sYeYovZ|_hYt|6+raF6N+B(TUeM703ahwOj z!*UGfp34HuR+WV4?HsPL=1>m45R2fh*HNhPRL3xNJhx_&?Yu^?zAcKo|5pQ*LIIU4 z9%X=yZ5mFd5t*`cmL{7}b7xJ=^_*qP(gmDLw)@AXu2??D^RnquqSO=xr-aR>O-k3u a)*Q3l*@6-(xNK#4xqhOgLbT*tS;gN$Zm<*V0gr*F!6RT6JPeM4`#}XB0Byp@Am^!p`@mOV z7q|)@0zW4Fn)rVt_HU5uZGb6o$Bx$f{UF;tAm=#)eg-dtd%-^-*V_PDx7aDf37`|? zeoukD;5CqS=MqLB_wxkgxVgmt1?-0X4dj{qO1J@X+@W2qe$Rs(cQvs`6FUcTpOYZ# zd6M|6Adj4TU>#hW-}7v_@AidK;vhE9mlyZXi}UiVd9FvXkushE>ug^<53aoj8)J$8 zzT$crKWU3f+%VcIZ9^RVa^Sf|D{h)8T{2EVYGYN-m<~=w|xXST6$p^DKQdw8cB>C zxj87tTJ-|uo6xf+D2p+_=;?>@I%^v*stG0HugtZ28aJ+6Qc^pUp6gf-MYMWoTj~tg zX%+DUHR+isk=>R)j9gbir9vl=V(zQFO%D~)cU2G~TSm6(r@4MQuACYk8XnlX?>m1n zl?*mLUiMW+S_rt{mmE*`%Y4xZLS?ge#s||^w&DUuhxb&F9?*GH@U)weS8|?B-Ey=W zVXhhJO{GRkQQ(x)gC>{=GgAAp8D=l_%hoY_R?FV3>^s+=67+^$;pPAU literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..dede9cb0 --- /dev/null +++ b/_build/html/_static/locales/iw/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: iw\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "הדפס לקובץ PDF" + +msgid "Theme by the" +msgstr "נושא מאת" + +msgid "Download source file" +msgstr "הורד את קובץ המקור" + +msgid "open issue" +msgstr "בעיה פתוחה" + +msgid "Contents" +msgstr "תוכן" + +msgid "previous page" +msgstr "עמוד קודם" + +msgid "Download notebook file" +msgstr "הורד קובץ מחברת" + +msgid "Copyright" +msgstr "זכויות יוצרים" + +msgid "Download this page" +msgstr "הורד דף זה" + +msgid "Source repository" +msgstr "מאגר המקורות" + +msgid "By" +msgstr "על ידי" + +msgid "repository" +msgstr "מאגר" + +msgid "Last updated on" +msgstr "עודכן לאחרונה ב" + +msgid "Toggle navigation" +msgstr "החלף ניווט" + +msgid "Sphinx Book Theme" +msgstr "נושא ספר ספינקס" + +msgid "suggest edit" +msgstr "מציע לערוך" + +msgid "Open an issue" +msgstr "פתח גיליון" + +msgid "Launch" +msgstr "לְהַשִׁיק" + +msgid "Fullscreen mode" +msgstr "מצב מסך מלא" + +msgid "Edit this page" +msgstr "ערוך דף זה" + +msgid "By the" +msgstr "דרך" + +msgid "next page" +msgstr "עמוד הבא" diff --git a/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ja/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..1cefd29ce3cc08792667a82dc7ff47e9843107be GIT binary patch literal 1471 zcma))U2GIp6vr=uT2=%temyktnh+I|RZ$+uHv1sbO-LX%QhlH9-p&qe?;Yo((zoth z!EFJNkCxzqu~zx0SU`c+ubA-Uv++eAe7Tv~_Q5w};+y|7GulOC;?11-%{lkn^L6K! z-gVOq>v2dQu6IDn_Xk)2*RIXZZv;v211Zik;1ak4q&&ao z_TO@S&AKd35BL)Hd%6F@2|fYNfYiq|km|n!QoJ8>{U?y}t$^hJJGcehbZ=(g z0h0bQNasgDiZ_<)lR3|UkHUThq>)oh@}pU9hR|%O@9u?E>>&uvmlpL;i{?kUXs#3! zA=v{Ey4&tWeb61=55ZW{`(?Yv@$jH7*egl~LIyrQ+;Pvb>jB%X-jWSv)wooF7*^^a zA8{ID)$FU#tBQXZgSz8$*Rlm0s5t>b|D{&KM#HaqLP$QUYJ%;x{D6mU%?d<~D+xW6 z)jE6Cg@Yxz75=BO|)yDPjO+O|NI0-c}~bwE^u;+|UZ4dMBS zR^nOyBIPfpnG5^&>>F6!-~QYSg?zBZp>bD~cz^<)cN>-?`+2o)dAX*25Q`IlO*w3@i^0SgZ zRp#5b_7~Xl$+OE7hnZ=9YND2D&Y9*#)@d&!S7*EK+UR$U{>JE*(KAMC6J0ZU+C;M^ z`q*e3JZ1ERi7p!bh0&j-o|DW(-_lp~<^OPPo;J+|qu);tEd58ke>rs)FR!$Zu=w!h z&Y7=QE_`G(9#lEWlJgUtTT#-!nao^I&VIs{Z!N}0r&&CGVrBLi!p9%ph)+&2{5I%2 zK7KuJEq2#CZ}bHdEv5a=V6`%k-R^d(Xw}Jf>8QN5e!h zBbA`3bkQ)WS=dVKSy@;~B<{I88!P_b+$$|{a=-hV^ZNe(@4NG5)%+^MSdZvHd_rtS zROaA?v3M?Hcvu@=3&Ew}VsJIs26lk!z^&jKFbl2%PlD~B0GES0VHu=655Q&M6L2Xw z0j>n66Mjh6KPU5VAnE-CQ{cRL@%?s?<{cpA*#_Ef2kG3A zWc>t4Ehi1?A9+}fAZZd{dqh6EFS_D$EB?$Vqvj_EszTqMS+R^&H z>|hBG*9E~2DXE3jK7P0*&#?=d9aa}*QCWE|l@|R-n>7qsZZHEJ ziA7vbTyRv7*q)W%4{Te&r9dUHqRxq&PWR-~XN2b?TZYH_Y0^)(lvBrgj&;rK@7cLK zl{7ZpS8_#$YZ%z&7A;41@?634e4(?a`?}KyX3lw*^v?<}-6eA>??^kt5A-`ab<~n} zfWBto^Y9)w_0g!> zVBythE}X>$!Q{z_su`ZeFjL;phL~syBFa zXVlaiX8iI$xBl9S?ljH#2qeqqHLg5*5Kc5=W8s^|_vRD}$A^$29KXrU!@=^_j5Dv6%;4cA#sHtggl>eA))${_687xQDk?6`Kc@OWFO}WOS!3uO( zjPOmFMc3|`Ymgi(M~_AsRb8*l6oj5N!k1G#oNSsg^a1i?<=NZRz?N8C9`e*ob%^~2 D6Q!<* literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..c9e13a42 --- /dev/null +++ b/_build/html/_static/locales/ko/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ko\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "PDF로 인쇄" + +msgid "Theme by the" +msgstr "테마별" + +msgid "Download source file" +msgstr "소스 파일 다운로드" + +msgid "open issue" +msgstr "열린 문제" + +msgid "Contents" +msgstr "내용" + +msgid "previous page" +msgstr "이전 페이지" + +msgid "Download notebook file" +msgstr "노트북 파일 다운로드" + +msgid "Copyright" +msgstr "저작권" + +msgid "Download this page" +msgstr "이 페이지 다운로드" + +msgid "Source repository" +msgstr "소스 저장소" + +msgid "By" +msgstr "으로" + +msgid "repository" +msgstr "저장소" + +msgid "Last updated on" +msgstr "마지막 업데이트" + +msgid "Toggle navigation" +msgstr "탐색 전환" + +msgid "Sphinx Book Theme" +msgstr "스핑크스 도서 테마" + +msgid "suggest edit" +msgstr "편집 제안" + +msgid "Open an issue" +msgstr "이슈 열기" + +msgid "Launch" +msgstr "시작하다" + +msgid "Fullscreen mode" +msgstr "전체 화면으로보기" + +msgid "Edit this page" +msgstr "이 페이지 편집" + +msgid "By the" +msgstr "에 의해" + +msgid "next page" +msgstr "다음 페이지" diff --git a/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..4468ba04bc134a84fea5e3c973461cf02c9c2da3 GIT binary patch literal 1413 zcmZvaJ*-qk6vsyag_RElKVp1=p+SgQ1!6(=Ws8Trm%IpJ!!Cq&-rn=>&feLX$$UJx zy>yfs3mYDtv7j(9R@&?)#@fol&{Y(AbXL(_rUwj`9qL(er@8vgIw=pko$cKo&XOVSm=ES z^8O^qK3oL({z?6$1#4Nz2(054oJ;=;JiGzE*_kpy=GszcBB+< zVRAov2m8<3><4U^|G(mLjYp;ti7%W@WK+ZsUk6=|lDOjTSmRV7txL4wTqQTPq1|wF zISlEQU>fNty(&qp7CIsI&UP&u6NiDw%84sTTvaj2>KHSL zUeFdvoa|j$6a9r=An&41F4Us$N7~+%m$|mVh$bZFtK3-hG;n2UNLsa}OO-T4EZt3u z>KyAVM0}tv?Q&E0p7b%7C80_}Cn&{@X_(sUMf(ENwtj7O_x!@A z=Ua`j?LqCSBNGbv%p0ZcvK)?7h?KfF2W#z1yZ3^!ag#!O)ec>uZP}5RHgsxTRkqCV zwIfYx^-K=RwAWmi#E!InzKz|B%X0Cvd)CU+U3uZ$a!agNntg;f8E)25tYny{XFsAC z9jD(SkfM$V#H6LA*|v6LHF0AnD>v~vCkoohO{LBB-b;69+sY(u|L3sMiR5g1`bhd5 zjq=k+;szC}%nlMS$9vjXC#gc)P6nF&q9-bfo{CjQZe*xbNYi^#C9ConpM%1oLFKH0 za&)0WJ=gQWZ5W!M$i7!O!aIl|0e?HQ2Ro%kmCL#^O7u6its3{(8W!QLNCjg(=>2Jsvw ClWZvf literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..35eabd95 --- /dev/null +++ b/_build/html/_static/locales/lt/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: lt\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Spausdinti į PDF" + +msgid "Theme by the" +msgstr "Tema" + +msgid "Download source file" +msgstr "Atsisiųsti šaltinio failą" + +msgid "open issue" +msgstr "atviras klausimas" + +msgid "Contents" +msgstr "Turinys" + +msgid "previous page" +msgstr "Ankstesnis puslapis" + +msgid "Download notebook file" +msgstr "Atsisiųsti nešiojamojo kompiuterio failą" + +msgid "Copyright" +msgstr "Autorių teisės" + +msgid "Download this page" +msgstr "Atsisiųskite šį puslapį" + +msgid "Source repository" +msgstr "Šaltinio saugykla" + +msgid "By" +msgstr "Iki" + +msgid "repository" +msgstr "saugykla" + +msgid "Last updated on" +msgstr "Paskutinį kartą atnaujinta" + +msgid "Toggle navigation" +msgstr "Perjungti naršymą" + +msgid "Sphinx Book Theme" +msgstr "Sfinkso knygos tema" + +msgid "suggest edit" +msgstr "pasiūlyti redaguoti" + +msgid "Open an issue" +msgstr "Atidarykite problemą" + +msgid "Launch" +msgstr "Paleiskite" + +msgid "Fullscreen mode" +msgstr "Pilno ekrano režimas" + +msgid "Edit this page" +msgstr "Redaguoti šį puslapį" + +msgid "By the" +msgstr "Prie" + +msgid "next page" +msgstr "Kitas puslapis" diff --git a/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..74aa4d8985d96a07c4c9be96f006f3b58d884342 GIT binary patch literal 1404 zcmZ9K&5ImG7{*_dsL7ZQP5eMvump*E7&XB|oMjFhcNYS?IAk~8Yi8c*sqUVtras2( zdKwT<9)#7Cr{GC*^B|r)^?-kXCk3y9;7t%O;`2^-vdb1-{p+f(exK)k=-;oN`-(7L z!d%1r1@l$R&!4~zPs;uHG2 zUH=1$um8Z;!As|eUIA~m+y%w|6qJ5G0bd5c0G|fGYu|qlzJT=-lzP8`lHs4A_&D=q zlgkxQ>Rkt~f$z861tmufO5Zssk;}JoUbN-BWGj829FU-AF-2E~^e;o|NY;|8ctc5g z22*^U9FmJ@OFxKVl@HxMz@_4p=>umY+Zgar9e9&XBW=2mZRzw_Sr>WeT%jhWmHkCxl1EW^k%TQzfIrX3xkO4V3L9xG?DPIfe<4=WtdR+$hI z)4&^xB2Eo9w`s4@^IW-LqVor|S51w*uWpOC{VC6wR(CaQdfIncRMGG) zBv*eURUdB+Oli45Wvi9v9Ia6vne84ZIht?0o$f< A2mk;8 literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..ee1bd08d --- /dev/null +++ b/_build/html/_static/locales/lv/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: lv\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Drukāt PDF formātā" + +msgid "Theme by the" +msgstr "Autora tēma" + +msgid "Download source file" +msgstr "Lejupielādēt avota failu" + +msgid "open issue" +msgstr "atklāts jautājums" + +msgid "Contents" +msgstr "Saturs" + +msgid "previous page" +msgstr "iepriekšējā lapa" + +msgid "Download notebook file" +msgstr "Lejupielādēt piezīmju grāmatiņu" + +msgid "Copyright" +msgstr "Autortiesības" + +msgid "Download this page" +msgstr "Lejupielādējiet šo lapu" + +msgid "Source repository" +msgstr "Avota krātuve" + +msgid "By" +msgstr "Autors" + +msgid "repository" +msgstr "krātuve" + +msgid "Last updated on" +msgstr "Pēdējoreiz atjaunināts" + +msgid "Toggle navigation" +msgstr "Pārslēgt navigāciju" + +msgid "Sphinx Book Theme" +msgstr "Sfinksa grāmatas tēma" + +msgid "suggest edit" +msgstr "ieteikt rediģēt" + +msgid "Open an issue" +msgstr "Atveriet problēmu" + +msgid "Launch" +msgstr "Uzsākt" + +msgid "Fullscreen mode" +msgstr "Pilnekrāna režīms" + +msgid "Edit this page" +msgstr "Rediģēt šo lapu" + +msgid "By the" +msgstr "Ar" + +msgid "next page" +msgstr "nākamā lapaspuse" diff --git a/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..2736e8fcf6f9e923c2403307f0b366086d37b335 GIT binary patch literal 1883 zcmbW0%ZnUE9LGydG>*^22ObnFl0!U=*`!Gj=35eWDu@Vn6%SYIC#v~L=<+PV8oUUd{}t%`e}*gYclZSS_^!ZZxSjb`_!_(p zTd=uFh;ewl;wqeG{x{qKTbqR#gE5?hpTno&U(oq&;Si6(7JLc50p0#-xD$R4pMlrl zez^G_At=eHx!OEj&F+K95`^|`3%xs|tB0$dYp$lQaXj&eABB3jp*ug}eRDN&btbLg zC_?O6*AzH~{-A|&9)JdV{ljJRVAnvQRl4{_?&D7b7KD1k z&HJ`jzT)e&M4gbqlB?mhqaXMpAZg<;-hlh5ZiX1=e36nUswzgb&SN${bnp4Gv=IQ6$P05hgaiFop^2w W+5FkQ^s?wV7=JSkIl3Km4aE({iDO&< literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..d471277d --- /dev/null +++ b/_build/html/_static/locales/ml/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ml\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക" + +msgid "Theme by the" +msgstr "പ്രമേയം" + +msgid "Download source file" +msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക" + +msgid "open issue" +msgstr "തുറന്ന പ്രശ്നം" + +msgid "previous page" +msgstr "മുൻപത്തെ താൾ" + +msgid "Download notebook file" +msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക" + +msgid "Copyright" +msgstr "പകർപ്പവകാശം" + +msgid "Download this page" +msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക" + +msgid "Source repository" +msgstr "ഉറവിട ശേഖരം" + +msgid "By" +msgstr "എഴുതിയത്" + +msgid "Last updated on" +msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്" + +msgid "Toggle navigation" +msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക" + +msgid "Sphinx Book Theme" +msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം" + +msgid "suggest edit" +msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക" + +msgid "Open an issue" +msgstr "ഒരു പ്രശ്നം തുറക്കുക" + +msgid "Launch" +msgstr "സമാരംഭിക്കുക" + +msgid "Edit this page" +msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക" + +msgid "By the" +msgstr "എഴുതിയത്" + +msgid "next page" +msgstr "അടുത്ത പേജ്" diff --git a/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..fe530100d7715cdc19a6f9db33a971665835f3c4 GIT binary patch literal 1674 zcma))-D_M$7>7rVU#qnriYO?KB2uYGt)hetL1>ylCBZ;a@uD{;yVJ8rH#3KG&bG~6 zRisua;ze5NO^wW!;71IF+EldSwKo+61wrPsjrLTQ<5nO9X$iPPmDi?R5_3f- z*T>{OU(0+)Eh-V7av_#JZ?debq)w0ISz70aXmzZP)flf6MT$}#$xUxiX4T6wMQMt1 z(Km0ZR-GJZC$ForB1Kb1(Zq`;L9Q`#U}kc-zxUba8xuy?O4rH!QlXl%M)kR(o922< zwmNB9se1h2{8TbJJXfZ=I;_fMQnySy*I84JF64D%I@MVZ^O|z8Y|M6hW!g=qOu1M! zr7ps>8h>F-#@F%PT0TB5_dY$=5YC=={Zr0fboPp~>pX9~wCwsPo&DVPkH=Hao^bXY zXIEYSL*AVI()HhVc3C?6MacEOvlp1GgbA^$%){9gR+l%mHiEnj&-JixH&Y;SGbt{+ z{t03z?p+g;%KlU0jXnJ;6hm+E zO4d<`2T4o{Hn?Oyg$)#jm)Q^UYaHJCp>S-t$!CBi7ej)}A>Wy>@(p%y@Lc$O&cyp1 zdP#?v^I4GaH+|g|B8k!Ldl%Wfwrg(}`)i>kl#a*D@zz$^*>a1%2AcIZ5x;fu4@Sqm A6951J literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..f3694acf --- /dev/null +++ b/_build/html/_static/locales/mr/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: mr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "पीडीएफवर मुद्रित करा" + +msgid "Theme by the" +msgstr "द्वारा थीम" + +msgid "Download source file" +msgstr "स्त्रोत फाइल डाउनलोड करा" + +msgid "open issue" +msgstr "खुला मुद्दा" + +msgid "previous page" +msgstr "मागील पान" + +msgid "Download notebook file" +msgstr "नोटबुक फाईल डाउनलोड करा" + +msgid "Copyright" +msgstr "कॉपीराइट" + +msgid "Download this page" +msgstr "हे पृष्ठ डाउनलोड करा" + +msgid "Source repository" +msgstr "स्त्रोत भांडार" + +msgid "By" +msgstr "द्वारा" + +msgid "Last updated on" +msgstr "अखेरचे अद्यतनित" + +msgid "Toggle navigation" +msgstr "नेव्हिगेशन टॉगल करा" + +msgid "Sphinx Book Theme" +msgstr "स्फिंक्स बुक थीम" + +msgid "suggest edit" +msgstr "संपादन सुचवा" + +msgid "Open an issue" +msgstr "एक मुद्दा उघडा" + +msgid "Launch" +msgstr "लाँच करा" + +msgid "Edit this page" +msgstr "हे पृष्ठ संपादित करा" + +msgid "By the" +msgstr "द्वारा" + +msgid "next page" +msgstr "पुढील पृष्ठ" diff --git a/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..f02603fa2522a40060bd3f1b5d65052c77530de6 GIT binary patch literal 1213 zcmZXRJ8Km|6vs!6uj@1M0TG1}Eworov@58TBL2_ajS)TU%x`DrywA6>k!K8Y7V9F`8>~xM5BFh% zd;s@@AHhT5C-5lv6+91q2g&v)I0lYF`6PH1JO$nc$*v2Y0Pldu!3W?dC>w4z_m7+N zHb`+^fGzM9NcL|*vVRZ02ETwK;L`&&w?VSo0ms4TAm#b4;b-tP&Og8l;4hH$$Kizh zUTHW1Qhptf^p`=>djwK_>)<(X03HLMfK>lZ^ZpV{}g%EROCaZxzWLzM_G6K*tH6hX%sTdt($LUZL@kZi>& z4I{%>X6M;z?cd7EIOUBUu+=J4dW+9cF1<{ak_~s>uT$@tG%Y08Vne0ED+JMU%h%Z$ zic<%vtlUs0G-K1wUB*6INTU1FI=E=_I%q^eqhYw#(!$c*-uvW@iB{KW zFSU<)gG#o!N7S2DA(WoxaVD&jzH_fPA5HD)S)tvUw9%Z7O`>$#=2Ly;TZ=-c0nKak z(zRBKU_}wl8(X?I*VXXoI=7~I{oA>w`Q;9uyguDx%Y{TQY0E^;V^w*;2yki7=)(TYV{?8_pQ^c*8Iog%4v$iD&q$RjNP literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..65b7c602 --- /dev/null +++ b/_build/html/_static/locales/ms/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ms\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Cetak ke PDF" + +msgid "Theme by the" +msgstr "Tema oleh" + +msgid "Download source file" +msgstr "Muat turun fail sumber" + +msgid "open issue" +msgstr "isu terbuka" + +msgid "previous page" +msgstr "halaman sebelumnya" + +msgid "Download notebook file" +msgstr "Muat turun fail buku nota" + +msgid "Copyright" +msgstr "hak cipta" + +msgid "Download this page" +msgstr "Muat turun halaman ini" + +msgid "Source repository" +msgstr "Repositori sumber" + +msgid "By" +msgstr "Oleh" + +msgid "Last updated on" +msgstr "Terakhir dikemas kini pada" + +msgid "Toggle navigation" +msgstr "Togol navigasi" + +msgid "Sphinx Book Theme" +msgstr "Tema Buku Sphinx" + +msgid "suggest edit" +msgstr "cadangkan edit" + +msgid "Open an issue" +msgstr "Buka masalah" + +msgid "Launch" +msgstr "Lancarkan" + +msgid "Edit this page" +msgstr "Edit halaman ini" + +msgid "By the" +msgstr "Oleh" + +msgid "next page" +msgstr "muka surat seterusnya" diff --git a/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..e59e7ecb308a7648cd23aa6342a9ad98a61d0009 GIT binary patch literal 1356 zcmZXTJ5Los6vqcag)1TtUj+$cqf)Gju^^CJh(JODkqBZvyL;~La`(<`W@dTSmfC47 z`~-XfW8nv|v9q$Ewb8~-3*-OXUAP1%JNw%?Gxz+@WA4%Tz*~WF19KAdE9MmDt3JFi z2G0qBM-1V00UQPg!3l5(oCL3fx52Am6C4Mhfg>P+S3qC$CCGl>fS1Ad;4pXyj)5O) zey;7`>h*V!^?rj5u)n|h{RqhGNs#^A0Y8F|zya_lcoF;svhE*{ng4G|2HU zfE@n|kmKI2*9Rc$zXmzZceVWx9L4%m%`YJ5bp-OcA0YetTieIZSNl^S#~pwZ;4H`` z=N$Mv$HI25E$f~haMji1Jb17l9<0YPv;H+qxD=N#xwoeW*MWP;bwN40{S^!Qc%)BB zJTcmn_6{G#zRi--xzS!`5#mI~uCZ|uI< zDAG*t$pwyWGo=oR?puacPMao4a*|r@WQp<_L^SRBDmueDl}KS}Co^Ro_9^$SOcFwr zgiH{M*`~+`D{-(z*1_AHtn>rc54y^YwUxD{-u}$J2aUS0!RCHJbJ8P#`$euYJujnF zSx3J4d~-RN?VYnqyB67CNk=BmbTTJr!^}5Ul}<|3bx!KMv7VP!<-xMC9S1|vUApGO zd0Bln?`nCgDQBkV8|as@-IqkwS9EI1Sg6udX`Q7gMb~>RJ??afw3Uu~8!34iTBHBl zi0Od1qM24Aq+POY$n;EGCeKm6M7k&?+d-F=M@18=IxkHDla2^|PO9GX1u3ivbE1xT z+=^}4Zo{ONva*On--8-OUjI=r94V1Y}`N=IHv19Ut jbWAeLReX?b<52fDoT%;?`~gm~I(s23S;SN2irW1H>^?=m literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..71bd1cda --- /dev/null +++ b/_build/html/_static/locales/nl/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: nl\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Afdrukken naar pdf" + +msgid "Theme by the" +msgstr "Thema door de" + +msgid "Download source file" +msgstr "Download het bronbestand" + +msgid "open issue" +msgstr "open probleem" + +msgid "Contents" +msgstr "Inhoud" + +msgid "previous page" +msgstr "vorige pagina" + +msgid "Download notebook file" +msgstr "Download notebookbestand" + +msgid "Copyright" +msgstr "auteursrechten" + +msgid "Download this page" +msgstr "Download deze pagina" + +msgid "Source repository" +msgstr "Bronopslagplaats" + +msgid "By" +msgstr "Door" + +msgid "repository" +msgstr "repository" + +msgid "Last updated on" +msgstr "Laatst geupdate op" + +msgid "Toggle navigation" +msgstr "Schakel navigatie" + +msgid "Sphinx Book Theme" +msgstr "Sphinx-boekthema" + +msgid "suggest edit" +msgstr "suggereren bewerken" + +msgid "Open an issue" +msgstr "Open een probleem" + +msgid "Launch" +msgstr "Lancering" + +msgid "Fullscreen mode" +msgstr "Volledig scherm" + +msgid "Edit this page" +msgstr "bewerk deze pagina" + +msgid "By the" +msgstr "Door de" + +msgid "next page" +msgstr "volgende bladzijde" diff --git a/_build/html/_static/locales/no/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/no/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..6cd15c88de675226c00ca4d0430171075e5559ff GIT binary patch literal 1317 zcmZ9KJ#5r46vxeXdz6pzxm3a|d<+2!3{|TeDD*@{E2`eX#NxZWChjG6WIIQ@F#r=I zh=CaiW+cQ+7sSlefekSsA;E&g!2exRwZe-1i=UnMe;@gJZ0`$!aT;?1^9$w~%xAl> zV2tb*0*@HQvL74+N5JFYC^!M00?&abz$SPMTm}z=1ReoH&Bq}7c@7=|Ux8!bTW}nF zU-MIK->moFLDu^NHo!f5s_zejyq^Hs&w20zcpb!5@dLyoequQQ{ss?%e?g9WWG`|7 z&ww2NwR(RWJc|7Tkn_pGec+?o{vnrOx2I^Ydmn%A>ZL_zf>(PJ4kZLarm5`W=b%5)w zZL7>O-*ZGp<~Am=pnQ;J5vxG4v+R9LTr zb?c&Cq}r^>S&prfQchyH%5IfY$0kWe(x`z>RL~GHv=*x9EbCMvg`Y>jh2AfB-HRnbKxP z_EP0Mh336ZE1KHA=alg)i!%*zV<7HREar_#Z59h#6sa0`M0_gBf~5&B$u(bn(=RqnJ4d{?xCazSi7Dd36F5NEp? z<)YnpdLTAmS7{(1PP{Mcl94asi9}+1PF;uA{A!sWqQCgLP1e#J@rEvuCjIeG)u_ z_zHL&oC3+mBarlB@FchjQl1we?OzAU{{~3=--1+!&*l7gkoNrokAjC_hW4EWNq-dF z2i^p!UUxt$Ipw67YDs=blg_=fL9(w&^`%C>sF5z^AYYUllKnH&-R^8uf4W1;k81~m7!h)9ylfZ~^CgwY?O|s!8_53#eN#D}ib%4l zPdl`G0* zrR^Q^E{h@wml7v|6|*b@U!4i752bZbtMMX#mGW2nnJcq1vs2siW24t9Wnrs}c`9q% z!@$)v5lT<+ped}AzW!iwx;nnS&I;|8q^(Zrz=TRiH9p=@zH(RSC_`OqJWVR|NoGY- zoi?`RYFwxN(ABR`V3KC)moz_L=VO;ADlp!Wow9!{+QNF%d)$vmWXUlwR2&%HTrgJW19E;7l zzACcDJ`;)Rh+tW;2Q~|urlsI%&bL2qk_T%ViEOb+o5j!ziwCfPoA2cCtFji~wj$ZA z@p+raPIaI5KE$fLmvXo`p>N|Ts6=nA`!wj_O|+>xW d^Crc{P^+yKEfI-Mu31OGXlgVp$}sP%{Q=l!SrY&N literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..1b7233f4 --- /dev/null +++ b/_build/html/_static/locales/pl/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: pl\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Drukuj do PDF" + +msgid "Theme by the" +msgstr "Motyw autorstwa" + +msgid "Download source file" +msgstr "Pobierz plik źródłowy" + +msgid "open issue" +msgstr "otwarty problem" + +msgid "Contents" +msgstr "Zawartość" + +msgid "previous page" +msgstr "Poprzednia strona" + +msgid "Download notebook file" +msgstr "Pobierz plik notatnika" + +msgid "Copyright" +msgstr "prawa autorskie" + +msgid "Download this page" +msgstr "Pobierz tę stronę" + +msgid "Source repository" +msgstr "Repozytorium źródłowe" + +msgid "By" +msgstr "Przez" + +msgid "repository" +msgstr "magazyn" + +msgid "Last updated on" +msgstr "Ostatnia aktualizacja" + +msgid "Toggle navigation" +msgstr "Przełącz nawigację" + +msgid "Sphinx Book Theme" +msgstr "Motyw książki Sphinx" + +msgid "suggest edit" +msgstr "zaproponuj edycję" + +msgid "Open an issue" +msgstr "Otwórz problem" + +msgid "Launch" +msgstr "Uruchomić" + +msgid "Fullscreen mode" +msgstr "Pełny ekran" + +msgid "Edit this page" +msgstr "Edytuj tę strone" + +msgid "By the" +msgstr "Przez" + +msgid "next page" +msgstr "Następna strona" diff --git a/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..d0ddb8728e1d5ef72dddc1537f66aa32251a83c8 GIT binary patch literal 1364 zcmZ9KJ!lj`6vsyszs~RYi3A)AKVkhsL@peXm>dKW4Dqy|yM5Uk-JMxyXV09qrC4bb zE3pu<6hyS##>&dd!p6cz!N$T$|8I9gLWZ0D-MpQB@BjWY-^NCt35+9{h16S(zZ$SR;BglC^gY3_DkUjkg^8V2+RlY+YuTO%k z_iDYq0kY*B<9wX!0496Oy4Me+EOW5GJh*=z>>q1pUk_m-WvQ8UtRL(@Yuttj8%m$V z)DS=E`y_5yrAF9A~6$c zkJPKnb{@xB&k-4!*pS4W%Dl|ePxSZ1+Sg`TPO-L5pAr(~Q+BJKIyQ=8l12@5q`XEEL(9HWXSq&QBy}{>iJ+c4DOK2kgX}J`T^Gu%F2!T+4-5Z_m|FJY}CdEoncB%=^@}k z8Y^ukWUsGWM!t2s(+;k!?Q_axOXPwX)3c#AQBz*)YTuYsCd%P!Q>MPL5a&+CLEE|{ zYf6)r%dB;ILRNoUXN)}2l9$d-G{iJ)q}Wy`Tzm+v2(=>^C{+#@RV=2IURF*jcR$wy zD??aTpZLaCOMFYpAW1l*WLmt4v{B_@b0}L2&D+qT-&mnh(n=I7vDb-`%I7N94^{E1 zcxfdiIC)dNQVDLK6_Z`3WS+>>*=|gU60=F_bfO(LmX~0$I{o6U(^gh;I@l*sE7k*N z>oXB$Fttuh#-5x(d)$^9P*fEbsVm+tv!2x!?&s);C8;hsuS6ZkWkdpvO!dtuOAFi$ LL?J8GWh3H0!r)O_ literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..1b27314d --- /dev/null +++ b/_build/html/_static/locales/pt/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: pt\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Imprimir em PDF" + +msgid "Theme by the" +msgstr "Tema por" + +msgid "Download source file" +msgstr "Baixar arquivo fonte" + +msgid "open issue" +msgstr "questão aberta" + +msgid "Contents" +msgstr "Conteúdo" + +msgid "previous page" +msgstr "página anterior" + +msgid "Download notebook file" +msgstr "Baixar arquivo de notebook" + +msgid "Copyright" +msgstr "direito autoral" + +msgid "Download this page" +msgstr "Baixe esta página" + +msgid "Source repository" +msgstr "Repositório fonte" + +msgid "By" +msgstr "De" + +msgid "repository" +msgstr "repositório" + +msgid "Last updated on" +msgstr "Última atualização em" + +msgid "Toggle navigation" +msgstr "Alternar de navegação" + +msgid "Sphinx Book Theme" +msgstr "Tema do livro Sphinx" + +msgid "suggest edit" +msgstr "sugerir edição" + +msgid "Open an issue" +msgstr "Abra um problema" + +msgid "Launch" +msgstr "Lançamento" + +msgid "Fullscreen mode" +msgstr "Modo tela cheia" + +msgid "Edit this page" +msgstr "Edite essa página" + +msgid "By the" +msgstr "Pelo" + +msgid "next page" +msgstr "próxima página" diff --git a/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..3c36ab1df7c589ad82614599b8c91f072a25d4a6 GIT binary patch literal 1390 zcmZ{jxo;Ce6vhX_5zG}5ZUr$kT#~s&fgHI>97~Z1L||yB#=9@;f%VL44!~(cNeM!T zzkmW7Bt%b&NVHTGv{Xn`NHmD=truc}813$F=kWX9`}X8CsJNO-Bou44rIk82E zW8ekwD0mG#0%~vyTm=t+&p?jz3S_U|fL!MXkn8*mPJmxQ*7*st&Nlprc^KsLXDc>A z&U>kv-vQZju7S_7m#oj;a^0f?p-U~+<-u`yunv38zH-h8DR$!Kd`AcS&)<;qgbk%n zVs?N_h8~GIYXX_z@lp(&&U!(#>;scql}cj+b*;T8mvv4X%iczp&|iz8r@bsxMq)nI z0il0S+cD35;)smw+mysr<%5hxssg3b8qA|fdg6M41IkG4eI&8uv_TLnms)LcbExO2 zuwDo22I6MX)8?U^<=i?w>XRs+vOBD)W3wzLY1Dn4sh}ZZ=wTRUXIW<`QaHM=ZLHEB z3GZW;5wavyf>i8XN#8^5U79nrN}tCR1WA7O>Nc7D^1!X_=B#5k}&OPu5mlqSjw% ze9!ggnq18PeE0wD`{?}IYPqW%0!Wn*zA9eO0NP-Sd!P*Z&(5Mvp+E_$mG57h;3yNf z@}T<)Q9@L?UQv!@t~hzGN|ByUi8HjaaJHLM9|{Y76xA;^5T@*t78+y)y;r5zA;cW% z6j3gq1Ltf%1{N7Mh$B&^tz>kF94xj(C8Xe$PteOytPUysU!2AvEWuE6Fj7Z>o*_qS K1txIYaExD}s9q8P literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..1783ad2c --- /dev/null +++ b/_build/html/_static/locales/ro/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ro\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Imprimați în PDF" + +msgid "Theme by the" +msgstr "Tema de" + +msgid "Download source file" +msgstr "Descărcați fișierul sursă" + +msgid "open issue" +msgstr "problema deschisă" + +msgid "Contents" +msgstr "Cuprins" + +msgid "previous page" +msgstr "pagina anterioară" + +msgid "Download notebook file" +msgstr "Descărcați fișierul notebook" + +msgid "Copyright" +msgstr "Drepturi de autor" + +msgid "Download this page" +msgstr "Descarcă această pagină" + +msgid "Source repository" +msgstr "Depozit sursă" + +msgid "By" +msgstr "De" + +msgid "repository" +msgstr "repertoriu" + +msgid "Last updated on" +msgstr "Ultima actualizare la" + +msgid "Toggle navigation" +msgstr "Comutare navigare" + +msgid "Sphinx Book Theme" +msgstr "Tema Sphinx Book" + +msgid "suggest edit" +msgstr "sugerează editare" + +msgid "Open an issue" +msgstr "Deschideți o problemă" + +msgid "Launch" +msgstr "Lansa" + +msgid "Fullscreen mode" +msgstr "Modul ecran întreg" + +msgid "Edit this page" +msgstr "Editați această pagină" + +msgid "By the" +msgstr "Langa" + +msgid "next page" +msgstr "pagina următoare" diff --git a/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..6b8ca41f36ebf869818399a9584cdb15619bea78 GIT binary patch literal 1722 zcmZ{iPiz!b9LJx6N>>C0{~WCHj6uL;MNkv6buUP3NFY{Oy-#-^yQABg$;>R!8?=By zpk6eZkcjo>ZEd^jw#)9`jK?>LiHQeq#*-Is-2D7zrnWZnvTr^!zxmDY_x*j}{=RSL zmx}cqdz}3X`vCjaLtI$99#)E<8sqXP+zofZ{csG9!)M_u@M&0v```y~4>WKujB{Rv zQs)c!1iS-x!|&l!u$%MeJpNn${3n!t_hA9<*pYp|2g>s}lsboC555U^!oQ&C`x}bB zF@i6^7vWp*ZFm@l@KtyR9)~}{gYZ5)1P?rt)qfX0&vOMzodC-FMW|sH%3Qy~Bk&LS zGTh71lK%!g2;Ya|(?xg`eg?&InL*;Bbw69Q%iLQRlGKxI@mH42FH8IruciMpY+9?w z*>bj97p>AWd<Owguyc8|lEQ8#P&TV@hv4PPLlNs2UpM=~=&K)EOs=bt|Yjv8id_3$EYFWp61Twd!?)O2Z^b@jo`zxOlo&{K$k6 z)k-?+UzGmEv~%I?>9doY?~lFqdLcKqSeXk!s4V?^=qzIFXM1NyDcB~ z^h;%Z?8rnx*}Ha_UXm-xW!tfr6}wJC zN81q@gr(9Fv3Bw)dp^0PldHtnY+u_Sxf$6W-wgO>O_L_|y0EwXD@jYPrM(BqO_Ddt zDEk#lk9`p%b*uDr%Zu6PU zG_bh>@urJlTp^1w`f2$AR}2{1AJVy&({OH-XdNXBVw1Appn{Ug&D59FU~!E~qO?uY z2%}Tqa+P*D{a@R!x0@kSMzqWv;2@B-rtEiw@7eZ-vn#fz?Gn!QP_`~@{!JJr^D>2; zYX|@P$s&z$lLI4H4zg!gP;s5$q8v^-E0ZiHHwb^e&1~CN%&|G1oY;Q{yqk7fcCfJk literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..b1176b7a --- /dev/null +++ b/_build/html/_static/locales/ru/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ru\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Распечатать в PDF" + +msgid "Theme by the" +msgstr "Тема от" + +msgid "Download source file" +msgstr "Скачать исходный файл" + +msgid "open issue" +msgstr "открытый вопрос" + +msgid "Contents" +msgstr "Содержание" + +msgid "previous page" +msgstr "Предыдущая страница" + +msgid "Download notebook file" +msgstr "Скачать файл записной книжки" + +msgid "Copyright" +msgstr "авторское право" + +msgid "Download this page" +msgstr "Загрузите эту страницу" + +msgid "Source repository" +msgstr "Исходный репозиторий" + +msgid "By" +msgstr "По" + +msgid "repository" +msgstr "хранилище" + +msgid "Last updated on" +msgstr "Последнее обновление" + +msgid "Toggle navigation" +msgstr "Переключить навигацию" + +msgid "Sphinx Book Theme" +msgstr "Тема книги Сфинкс" + +msgid "suggest edit" +msgstr "предложить редактировать" + +msgid "Open an issue" +msgstr "Открыть вопрос" + +msgid "Launch" +msgstr "Запуск" + +msgid "Fullscreen mode" +msgstr "Полноэкранный режим" + +msgid "Edit this page" +msgstr "Редактировать эту страницу" + +msgid "By the" +msgstr "Посредством" + +msgid "next page" +msgstr "Следующая страница" diff --git a/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..59bd0ddfa341477cf5ccfdc88f4c3e6127046f7a GIT binary patch literal 1393 zcmZ9KKWrRD6vijSKyrit=ARHoJeoj?1A-``v#uc6mLesxmAg<-Am(Iw==v>7a08THd<;rm`=IpY4k&eh2g>u`gW~ryD0Tk|O5J~fa_(Nc zzXDUK|0PiBy9|o{Iw-jZpgi{xC@mLFS&OFRlMGV#=>h3w2I;R1(UBqg;w6239ut!4 z2~6=jJ)|#^@o`MFWBGp7wHbaCb5`#=8`;KyKjqAuERSl#ePRozQ?f4d$hk4?nu1TZ zgR6YP4{gTW1S)mLYBMzv(*G~Fs-g&qXSOtPDXSYgM5@YEM^4FEtSg)3YP-Y%ZOMdC zvD)#*Ld4O|#+Dj1ex6GgOmu#x24!ySK3$V+!<;9qmRA}zH4R;s6--u7O{SxPiRJy+ zq;ulan3SHU##L?XQ}Ut8GDb>9C5YnoIEmfsY4-#60ct&J{JY}cT{?GeUcb3{a{tPk zZ+F_pc89Z)dlV7it+LR@u2Yh0A2{}J54XBkPtJL5!!G;orcGRGY}TWzBNIC}w9P8? zwMSvx*(oZoi|&^5lh7kuE|;PI&N?-J`)^o!txs1juXogY6?)ZEJ1#xCtJU@>=)Bnr zU1l0t--9arjh>CyA! zZ|R}^TYP-iOeo=k_sEUBK5*0V4ADZtsjcUv$Fb6dIjHA}(Ucy4hGb%cXdqT-thpkjw8w z94mEnM;EAFODWoF<;0UM`ZS%T+8S2)Skfe~=jnmos~5@rll9m4U7_dmM!H@|Co1(H Di}h+h literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..65012881 --- /dev/null +++ b/_build/html/_static/locales/sk/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sk\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Tlač do PDF" + +msgid "Theme by the" +msgstr "Téma od" + +msgid "Download source file" +msgstr "Stiahnite si zdrojový súbor" + +msgid "open issue" +msgstr "otvorené vydanie" + +msgid "Contents" +msgstr "Obsah" + +msgid "previous page" +msgstr "predchádzajúca strana" + +msgid "Download notebook file" +msgstr "Stiahnite si zošit" + +msgid "Copyright" +msgstr "Autorské práva" + +msgid "Download this page" +msgstr "Stiahnite si túto stránku" + +msgid "Source repository" +msgstr "Zdrojové úložisko" + +msgid "By" +msgstr "Autor:" + +msgid "repository" +msgstr "Úložisko" + +msgid "Last updated on" +msgstr "Posledná aktualizácia dňa" + +msgid "Toggle navigation" +msgstr "Prepnúť navigáciu" + +msgid "Sphinx Book Theme" +msgstr "Téma knihy Sfinga" + +msgid "suggest edit" +msgstr "navrhnúť úpravu" + +msgid "Open an issue" +msgstr "Otvorte problém" + +msgid "Launch" +msgstr "Spustiť" + +msgid "Fullscreen mode" +msgstr "Režim celej obrazovky" + +msgid "Edit this page" +msgstr "Upraviť túto stránku" + +msgid "By the" +msgstr "Podľa" + +msgid "next page" +msgstr "ďalšia strana" diff --git a/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..87bf26de683cb18c73bd23c2b4c57ef6a02545ec GIT binary patch literal 1374 zcmZ9KyKfXR5XQ}$9PjWFC=#aOAvj*5h%UN@MVlwf1j4YtMW$vtK7Sz7QA(F{dy;VIIMJx(*A* z*7ZW*5ffN8gWJKa;9hV7oB|Jk$H0AH8=M61fIC3~cY(3y6OjEp2X}z4!0q5`a1Z#l z=EvIprQUx7Io@xu0dCk(-QNlFehOqi$H8~tMQ{`NqvlU=3--Uk-Qc>7LL34o!NcHb zkab@J`TGNq^T|Ly_ZVc|FG1Eh0$KkXa4+~CYpSj^k88a!&*8idy!V z`%t7QK_wv*NO67Y#^!v|yiY#BTT52)n;gGcMsD1kzd5`1{rs78jk>VS#g&{|GD5)F z+$e2lWVfe$pxC~*IM2jgT5~@lP4MDpz zCx-(XW@_w<9uAzh?%#>APv}sH5H9X{E*5diD#H~rZm5EBHe?#D`0z|yaZ3$VV*3d1 zf=gV-^ojji64%jMWljW5^x#&@4 literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..3c7e3a86 --- /dev/null +++ b/_build/html/_static/locales/sl/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sl\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Natisni v PDF" + +msgid "Theme by the" +msgstr "Tema avtorja" + +msgid "Download source file" +msgstr "Prenesite izvorno datoteko" + +msgid "open issue" +msgstr "odprto vprašanje" + +msgid "Contents" +msgstr "Vsebina" + +msgid "previous page" +msgstr "Prejšnja stran" + +msgid "Download notebook file" +msgstr "Prenesite datoteko zvezka" + +msgid "Copyright" +msgstr "avtorske pravice" + +msgid "Download this page" +msgstr "Prenesite to stran" + +msgid "Source repository" +msgstr "Izvorno skladišče" + +msgid "By" +msgstr "Avtor" + +msgid "repository" +msgstr "odlagališče" + +msgid "Last updated on" +msgstr "Nazadnje posodobljeno dne" + +msgid "Toggle navigation" +msgstr "Preklopi navigacijo" + +msgid "Sphinx Book Theme" +msgstr "Tema knjige Sphinx" + +msgid "suggest edit" +msgstr "predlagajte urejanje" + +msgid "Open an issue" +msgstr "Odprite številko" + +msgid "Launch" +msgstr "Kosilo" + +msgid "Fullscreen mode" +msgstr "Celozaslonski način" + +msgid "Edit this page" +msgstr "Uredite to stran" + +msgid "By the" +msgstr "Avtor" + +msgid "next page" +msgstr "Naslednja stran" diff --git a/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..ec740f4852f3973fa72ed0c7f7cf59273b8dba41 GIT binary patch literal 1679 zcmZ{i&2Jk;7>5TMpf#n12FigTrXZCM$qB70R5|j2(nPA%iiifpt=iZVd#SU#+K*9wix4UV%CCk|YD;tzleJn!xzyAg~$`^-$R zf|BP7d;(sF`{57pDcCFcOL6{NvA++c-k-1p_w32;FeHVeLgQ7^hJ zGdzy`B&?ZThjG)5bl^0MnyI@nssG*1CaqRf3ytygl3zFKtP{mL3F=O4>e~0%Ctj_o z-VO+GJncqNV$@vddL;4n-04|$KCc&=z>nP650};Xpy_&-^(oOd-!w}`WnaCJdz$wf zjh4}#bIENuu}cxpT#j>fzSPN!1fjX)`bi;sBz=@L8U~dHCrI%>FtxaRre1!}gb~>) zID-xfGsC|hn|!@gG`2jy9GHrZ5ik|B9M_xHwWbqBCa%6aKU+RIj0+tv zS~OvK#;f^t*K1Vt$ptqqoproMLSHL73QKdXBy?KkSwCEgD%uOOZB#uzt@CB|6;B_j z>SM1?mz2F>J33uW*U}Z+wmY_)ohZA>uESZ+w$lw|zev~9H9JUG(p9@{2io4t;AJmR@7g|5U2Qwul5jS5J6+fI7K$b?*B^Gym(vvm#N%kCu@EWomq3c>6awm HD*E*gL}ZXP literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..773b8ada --- /dev/null +++ b/_build/html/_static/locales/sr/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Испис у ПДФ" + +msgid "Theme by the" +msgstr "Тхеме би" + +msgid "Download source file" +msgstr "Преузми изворну датотеку" + +msgid "open issue" +msgstr "отворено издање" + +msgid "Contents" +msgstr "Садржај" + +msgid "previous page" +msgstr "Претходна страница" + +msgid "Download notebook file" +msgstr "Преузмите датотеку бележнице" + +msgid "Copyright" +msgstr "Ауторско право" + +msgid "Download this page" +msgstr "Преузмите ову страницу" + +msgid "Source repository" +msgstr "Изворно спремиште" + +msgid "By" +msgstr "Од стране" + +msgid "repository" +msgstr "спремиште" + +msgid "Last updated on" +msgstr "Последње ажурирање" + +msgid "Toggle navigation" +msgstr "Укључи / искључи навигацију" + +msgid "Sphinx Book Theme" +msgstr "Тема књиге Спхинк" + +msgid "suggest edit" +msgstr "предложи уређивање" + +msgid "Open an issue" +msgstr "Отворите издање" + +msgid "Launch" +msgstr "Лансирање" + +msgid "Fullscreen mode" +msgstr "Режим целог екрана" + +msgid "Edit this page" +msgstr "Уредите ову страницу" + +msgid "By the" +msgstr "Од" + +msgid "next page" +msgstr "Следећа страна" diff --git a/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/sv/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..b07dc76ff21128244172d2e415cc899555d8b49d GIT binary patch literal 1365 zcmZ9Ky>App7{XZ}|d=zQVMY>d0>TJUwK!GS|siLHd(&c$~H~3(*Gryg$_j%@>d3o;WBZ2ZE>JsWR z)Jv%M7to-bct;3);v|}P!BgM~@H}`DTmmnGm%$If0eB9)11^FDo&i(GpFxiE5Ihb3 z0-geY1>Xk`IzH{jUv&LfAnW}L_P`@Y+Wm_l_m@D9a|Qez{0hWU@h8Z7e}laLACT8A z9Bq9sg6#KG@FQ>;^|ue&MB7Xc{&_$WV4fmrpPUX_NMBC1d<&HLVI2>ISM)cNT zDs_}z6(rVjoe=u}?s{cR90ejPCoU&(OT{EBpQ}W+2Kkatlh7xu)KFSXs3tL$x9(u73Q%I)?{Lst}rq*YU0sH7ocX*ad*9P6|q zKG0OVs2vT8zb&|U%F`w^(-Z1 zKF^i36kcC+hKrsX9@jHt-W)0~UWJ0RHRwJIJFG|WNq7Z50sn;0!@U&o7(5PV;9F4M{{RobKj41& z@a;;?!xtbeX@>OX{(5y6M3y47A9wJS8l@l7I~meb8I-3U@UzelnM(bH_d|LjeI~u4 zB&Ck5^3z4%s2P{8W=Y&H)T}#g2QKPq>k6~t+?)DDGB7*axf^C(bKPdqPja0`u~Boq zq#)vWxe(=r9;UshFg@+8T8M_W+gC58#_GuGB+rLNEoOcl%M6n_~Kv<@xsE9lI>D`3aM?=WN&Y5*v5);gzIlEkrgR(mY~Bt;NAGiw5m^ zmz~Tz+NOS)Pd_uI!*qJT)%&LPp{J%=sw%gu@~f)+wA%QnDo0iMT~%)Q%}sWAT~-@s zt8&XvWPPzJFLmFFj3kCLZVZKXbJg6qObpgpYXhKc{dPQvXD4*l1`&-oR|ZVWnD5S zLMPGk+4yL_MW)wWJ7GI+sWh)Cq}dE7ao%TGqX8uPK%$P%oUIVNaozG6uhIA~XTs-( z77E8j3VKIkNhd=@QrBItuMs9x^kr3kK4HautE;{2cexG}GQN=#P4;o6q{&7}8xZ++ zl w$ZZQ&WaeX;?9mtGBq&}escqTfGyJc(*W8(47(T)#0?{xcP9tpFr||Or2L57y?*IS* literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..b48bdfaf --- /dev/null +++ b/_build/html/_static/locales/ta/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ta\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "PDF இல் அச்சிடுக" + +msgid "Theme by the" +msgstr "வழங்கிய தீம்" + +msgid "Download source file" +msgstr "மூல கோப்பைப் பதிவிறக்குக" + +msgid "open issue" +msgstr "திறந்த பிரச்சினை" + +msgid "previous page" +msgstr "முந்தைய பக்கம்" + +msgid "Download notebook file" +msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்" + +msgid "Copyright" +msgstr "பதிப்புரிமை" + +msgid "Download this page" +msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்" + +msgid "Source repository" +msgstr "மூல களஞ்சியம்" + +msgid "By" +msgstr "வழங்கியவர்" + +msgid "Last updated on" +msgstr "கடைசியாக புதுப்பிக்கப்பட்டது" + +msgid "Toggle navigation" +msgstr "வழிசெலுத்தலை நிலைமாற்று" + +msgid "Sphinx Book Theme" +msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்" + +msgid "suggest edit" +msgstr "திருத்த பரிந்துரைக்கவும்" + +msgid "Open an issue" +msgstr "சிக்கலைத் திறக்கவும்" + +msgid "Launch" +msgstr "தொடங்க" + +msgid "Edit this page" +msgstr "இந்தப் பக்கத்தைத் திருத்தவும்" + +msgid "By the" +msgstr "மூலம்" + +msgid "next page" +msgstr "அடுத்த பக்கம்" diff --git a/_build/html/_static/locales/te/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/te/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..0a5f4b46adfda1551ae6791c3c3782525b61be04 GIT binary patch literal 1806 zcmbu8?`s@I7{^DgzpiR+74e1QD2kPOYU&G1LO_}((2{DPsaEjK=5D&TdYxHz_mbva zT2L$M3z1kXg(AcfwAS4~Neb5f0lujqQV?VieD5FN3qLcn=UrpK7cRH^*?DH3U*CQ1 zw_V$o1=qvek8yv`{W$mAxAEY*0dI#t!Motk@Lu>Ud<6aho$p_87u?C=2jJ6i2YeYi zzX^ChJOuB9$KXz=YA)3F59{^k(B)Z$4Y&rK|263Re}o(GCUki}y(4f1KFWF>z6o!@ z*Wm7LLQKL1xEEf7ufjj!vvA~2A@;zx;Pdc3_zYZw?)**o1l&$Dhu|Lg6r6|7{snaU zU4^f}Um%kFbGaHHtXJD1WeGz1>mHu2N2iC=&RtGZchR1B$iD?W+^g&V?%L)waXOPu z(25ZI7x~Geqr`+s7qcYp6yktc&|MR?r8b3{Gv-}+Jn5=|IXAtmr8XIhPLj(sij|mb zCj}Av%jqaDWG`(;g=$Nq#dOrut&Vs-Ra!<`CVAddVkS#8PDaigm=Z@q{7j`LPYRPQ ziX&+!(I@48SIcZiolwF*xU=VM^?@zFv*l@L zDz6jwvaMLG-4f{crQm*REN}ghN#a8coKPu>p z%YTFt$m|qAXTDh&g5gT~hljsJ*ry=A+<9Nb1sA(o5-xGw{Z;?6OlS@gI#jemLQG%z zrpf6>XY=H3-bW;Qrf>v2>%ZN4n4aM|U<|2-ZBn^mBghuhM0)Dv2+@ei()B(V2&(za uuMrF7ToguSy%w`N&3+IHSt#2LVBfiP)B5iT;9Jx)h5&elIS4O(ZT|-CPABOA literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..952278f5 --- /dev/null +++ b/_build/html/_static/locales/te/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: te\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "PDF కి ముద్రించండి" + +msgid "Theme by the" +msgstr "ద్వారా థీమ్" + +msgid "Download source file" +msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి" + +msgid "open issue" +msgstr "ఓపెన్ ఇష్యూ" + +msgid "previous page" +msgstr "ముందు పేజి" + +msgid "Download notebook file" +msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి" + +msgid "Copyright" +msgstr "కాపీరైట్" + +msgid "Download this page" +msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి" + +msgid "Source repository" +msgstr "మూల రిపోజిటరీ" + +msgid "By" +msgstr "ద్వారా" + +msgid "Last updated on" +msgstr "చివరిగా నవీకరించబడింది" + +msgid "Toggle navigation" +msgstr "నావిగేషన్‌ను టోగుల్ చేయండి" + +msgid "Sphinx Book Theme" +msgstr "సింహిక పుస్తక థీమ్" + +msgid "suggest edit" +msgstr "సవరించమని సూచించండి" + +msgid "Open an issue" +msgstr "సమస్యను తెరవండి" + +msgid "Launch" +msgstr "ప్రారంభించండి" + +msgid "Edit this page" +msgstr "ఈ పేజీని సవరించండి" + +msgid "By the" +msgstr "ద్వారా" + +msgid "next page" +msgstr "తరువాతి పేజీ" diff --git a/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..b21c6c6340194fdf35f7e5660deb42479c8dbff9 GIT binary patch literal 1628 zcmaiyO^6gn6vxZY=tNE8S5Q|hA#9RE$8XSGCI@vF1jR*HLCB?drtIlBTh(+|t9#pZ z_b^Dr#19Y@K@`-J?Yg?{x;qOwd8{6D@{o&%oP^*d#K?f}Wpw_pnH1Q&v@ z3%&tK*FWF}u!PNBU}wRfz%8&Zfe!dP_zn0sxE@@yD9?KJ9kAteKMU^WF zJC>CiI~?GEE4d#GJ20M-!R?)~ z>>S<1-6l7a<}oHySZKVs&CQhc{Mbyqb88w7X3RqzI{&F#*USvhMoiLrM6s>Hk4E|6 zc@o%qM9F2t?V4KSrinZf?58}t0JXzb84{b#Mr}$-{y{=+V#Xn)X(lNzTPtR6wl32O zGdJL5Bs-5oxB+T`zIGRrAt`^lPLZT?M?g!0angPB{%GR5vxHp0oR8Arqi zbZiRp&%w__8!lf*NbDpe;WA2%r?Xi$atSF8VXr;q_FB@_W_A(5kPfr&0p+;^8?eY= pg1vVOUqyoB&tBYSn9xh&7BjPW`v%MukJU629MMs5Ow+8v{s(GpYQg{j literal 0 HcmV?d00001 diff --git a/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po b/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..c33dc421 --- /dev/null +++ b/_build/html/_static/locales/tg/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: tg\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "Print to PDF" +msgstr "Чоп ба PDF" + +msgid "Theme by the" +msgstr "Мавзӯъи аз" + +msgid "Download source file" +msgstr "Файли манбаъро зеркашӣ кунед" + +msgid "open issue" +msgstr "барориши кушод" + +msgid "Contents" +msgstr "Мундариҷа" + +msgid "previous page" +msgstr "саҳифаи қаблӣ" + +msgid "Download notebook file" +msgstr "Файли дафтарро зеркашӣ кунед" + +msgid "Copyright" +msgstr "Ҳуқуқи муаллиф" + +msgid "Download this page" +msgstr "Ин саҳифаро зеркашӣ кунед" + +msgid "Source repository" +msgstr "Анбори манбаъ" + +msgid "By" +msgstr "Бо" + +msgid "repository" +msgstr "анбор" + +msgid "Last updated on" +msgstr "Last навсозӣ дар" + +msgid "Toggle navigation" +msgstr "Гузаришро иваз кунед" + +msgid "Sphinx Book Theme" +msgstr "Сфинкс Мавзӯи китоб" + +msgid "suggest edit" +msgstr "пешниҳод вироиш" + +msgid "Open an issue" +msgstr "Масъаларо кушоед" + +msgid "Launch" +msgstr "Оғоз" + +msgid "Fullscreen mode" +msgstr "Ҳолати экрани пурра" + +msgid "Edit this page" +msgstr "Ин саҳифаро таҳрир кунед" + +msgid "By the" +msgstr "Бо" + +msgid "next page" +msgstr "саҳифаи оянда" diff --git a/_build/html/_static/locales/th/LC_MESSAGES/booktheme.mo b/_build/html/_static/locales/th/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..abede98aa11b163e580a26b545980ace31e61ccf GIT binary patch literal 1766 zcma)*-)|K~6vqcarB^@&)CU_K663GrYB9uM>wQ7mgal$EMW46#4trN`XEwWgD~&H; 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"By" +msgstr "作者：" + +msgid "repository" +msgstr "儲存庫" + +msgid "Last updated on" +msgstr "最後更新時間：" + +msgid "Toggle navigation" +msgstr "顯示或隱藏導覽列" + +msgid "Sphinx Book Theme" +msgstr "Sphinx Book 佈景主題" + +msgid "suggest edit" +msgstr "提出修改建議" + +msgid "Open an issue" +msgstr "開啟議題" + +msgid "Launch" +msgstr "啟動" + +msgid "Fullscreen mode" +msgstr "全螢幕模式" + +msgid "Edit this page" +msgstr "編輯此頁面" + +msgid "By the" +msgstr "作者：" + +msgid "next page" +msgstr "下一頁" diff --git a/_build/html/_static/logo.png b/_build/html/_static/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..bf141894493cfa10ecdce8bbf49f43b98511ea28 GIT binary patch literal 12752 zcmbt*Wm6qpuyt^E4I12nySux)yC2*kxFxuA@ZfHNgG+FC2`&eB_setZ{RQ{^FtcZ> zW_ES2THVuoujyzNC215y0>m$0zM#m;NT_}J0-^MI?FA3}d3I1OZ~Yt~+|;DSzSK+- z9ev(FTZ<}+e)&=#kMwE^^LdW|kkNJf@&&d3zXM{(xy<6r7gkGI2~iDiqq7`1e+|w1 zp`bZ-y5D$^WMLb{4{;nGjPN0aw8s@y5DQ5q`9@QR?yxW4cY0|SnHvQ2%-j!9+#T}s;urOEuRj(-XZEd*w!131Y 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padding-right: 0em; + border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid; + border-radius: var(--mystnb-source-border-radius); + border-left-color: var(--mystnb-source-margin-color); + border-left-width: medium; +} + +div.cell details.below-input>summary { + background-color: var(--mystnb-source-bg-color); + padding-left: 1em; + padding-right: 0em; + border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid; + border-top: none; + border-bottom-left-radius: var(--mystnb-source-border-radius); + border-bottom-right-radius: var(--mystnb-source-border-radius); + border-left-color: var(--mystnb-source-margin-color); + border-left-width: medium; +} + +div.cell details.hide>summary>span { + opacity: var(--mystnb-hide-prompt-opacity); +} + +div.cell details.hide[open]>summary>span.collapsed { + display: none; +} + +div.cell details.hide:not([open])>summary>span.expanded { + display: none; +} + +@keyframes collapsed-fade-in { + 0% { + 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Pulled from the Jupyter / nbsphinx CSS */ +div.cell_output table { + border: none; + border-collapse: collapse; + border-spacing: 0; + color: black; + font-size: 1em; + table-layout: fixed; +} + +div.cell_output thead { + border-bottom: 1px solid black; + vertical-align: bottom; +} + +div.cell_output tr, +div.cell_output th, +div.cell_output td { + text-align: right; + vertical-align: middle; + padding: 0.5em 0.5em; + line-height: normal; + white-space: normal; + max-width: none; + border: none; +} + +div.cell_output th { + font-weight: bold; +} + +div.cell_output tbody tr:nth-child(odd) { + background: #f5f5f5; +} + +div.cell_output tbody tr:hover { + background: rgba(66, 165, 245, 0.2); +} + +/** source code line numbers **/ +span.linenos { + opacity: 0.5; +} + +/* Inline text from `paste` operation */ + +span.pasted-text { + font-weight: bold; +} + +span.pasted-inline img { + max-height: 2em; +} + +tbody span.pasted-inline img { + max-height: none; +} + +/* Font colors for 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.-Color[class*=-BGC3] { + background-color: #808000 +} + +div.highlight .-Color[class*=-C4] { + color: #000080 +} + +div.highlight .-Color[class*=-BGC4] { + background-color: #000080 +} + +div.highlight .-Color[class*=-C5] { + color: #800080 +} + +div.highlight .-Color[class*=-BGC5] { + background-color: #800080 +} + +div.highlight .-Color[class*=-C6] { + color: #008080 +} + +div.highlight .-Color[class*=-BGC6] { + background-color: #008080 +} + +div.highlight .-Color[class*=-C7] { + color: #C0C0C0 +} + +div.highlight .-Color[class*=-BGC7] { + background-color: #C0C0C0 +} + +div.highlight .-Color[class*=-C8] { + color: #808080 +} + +div.highlight .-Color[class*=-BGC8] { + background-color: #808080 +} + +div.highlight .-Color[class*=-C9] { + color: #FF0000 +} + +div.highlight .-Color[class*=-BGC9] { + background-color: #FF0000 +} + +div.highlight .-Color[class*=-C10] { + color: #00FF00 +} + +div.highlight .-Color[class*=-BGC10] { + background-color: #00FF00 +} + +div.highlight .-Color[class*=-C11] { + color: #FFFF00 +} + +div.highlight .-Color[class*=-BGC11] { + background-color: #FFFF00 +} + +div.highlight .-Color[class*=-C12] { + color: #0000FF +} + +div.highlight .-Color[class*=-BGC12] { + background-color: #0000FF +} + +div.highlight .-Color[class*=-C13] { + color: #FF00FF +} + +div.highlight .-Color[class*=-BGC13] { + background-color: #FF00FF +} + +div.highlight .-Color[class*=-C14] { + color: #00FFFF +} + +div.highlight .-Color[class*=-BGC14] { + background-color: #00FFFF +} + +div.highlight .-Color[class*=-C15] { + color: #FFFFFF +} + +div.highlight .-Color[class*=-BGC15] { + background-color: #FFFFFF +} + +div.highlight .-Color[class*=-C16] { + color: #000000 +} + +div.highlight .-Color[class*=-BGC16] { + background-color: #000000 +} + +div.highlight .-Color[class*=-C17] { + color: #00005F +} + +div.highlight .-Color[class*=-BGC17] { + background-color: #00005F +} + +div.highlight .-Color[class*=-C18] { + color: #000087 +} + +div.highlight .-Color[class*=-BGC18] { + background-color: #000087 +} + +div.highlight .-Color[class*=-C19] { + color: #0000AF +} + +div.highlight .-Color[class*=-BGC19] { + background-color: #0000AF +} + +div.highlight .-Color[class*=-C20] { + color: #0000D7 +} + +div.highlight .-Color[class*=-BGC20] { + background-color: #0000D7 +} + +div.highlight .-Color[class*=-C21] { + color: #0000FF +} + +div.highlight .-Color[class*=-BGC21] { + background-color: #0000FF +} + +div.highlight .-Color[class*=-C22] { + color: #005F00 +} + +div.highlight .-Color[class*=-BGC22] { + background-color: #005F00 +} + +div.highlight .-Color[class*=-C23] { + color: #005F5F +} + +div.highlight .-Color[class*=-BGC23] { + background-color: #005F5F +} + +div.highlight .-Color[class*=-C24] { + color: #005F87 +} + +div.highlight .-Color[class*=-BGC24] { + background-color: #005F87 +} + +div.highlight .-Color[class*=-C25] { + color: #005FAF +} + +div.highlight .-Color[class*=-BGC25] { + background-color: #005FAF +} + +div.highlight .-Color[class*=-C26] { + color: #005FD7 +} + +div.highlight .-Color[class*=-BGC26] { + background-color: #005FD7 +} + +div.highlight .-Color[class*=-C27] { + color: #005FFF +} + +div.highlight .-Color[class*=-BGC27] { + background-color: #005FFF +} + +div.highlight .-Color[class*=-C28] { + color: #008700 +} + +div.highlight .-Color[class*=-BGC28] { + background-color: #008700 +} + +div.highlight .-Color[class*=-C29] { + color: #00875F +} + +div.highlight .-Color[class*=-BGC29] { + background-color: #00875F +} + +div.highlight .-Color[class*=-C30] { + color: #008787 +} + +div.highlight .-Color[class*=-BGC30] { + background-color: #008787 +} + +div.highlight .-Color[class*=-C31] { + color: #0087AF +} + +div.highlight .-Color[class*=-BGC31] { + background-color: #0087AF +} + +div.highlight .-Color[class*=-C32] { + color: #0087D7 +} + +div.highlight .-Color[class*=-BGC32] { + background-color: #0087D7 +} + +div.highlight .-Color[class*=-C33] { + color: #0087FF +} + +div.highlight .-Color[class*=-BGC33] { + background-color: #0087FF +} + +div.highlight .-Color[class*=-C34] { + color: #00AF00 +} + +div.highlight .-Color[class*=-BGC34] { + background-color: #00AF00 +} + +div.highlight .-Color[class*=-C35] { + color: #00AF5F +} + +div.highlight .-Color[class*=-BGC35] { + background-color: #00AF5F +} + +div.highlight .-Color[class*=-C36] { + color: #00AF87 +} + +div.highlight .-Color[class*=-BGC36] { + background-color: #00AF87 +} + +div.highlight .-Color[class*=-C37] { + color: #00AFAF +} + +div.highlight .-Color[class*=-BGC37] { + background-color: #00AFAF +} + +div.highlight .-Color[class*=-C38] { + color: #00AFD7 +} + +div.highlight .-Color[class*=-BGC38] { + background-color: #00AFD7 +} + +div.highlight .-Color[class*=-C39] { + color: #00AFFF +} + +div.highlight .-Color[class*=-BGC39] { + background-color: #00AFFF +} + +div.highlight .-Color[class*=-C40] { + color: #00D700 +} + +div.highlight .-Color[class*=-BGC40] { + background-color: #00D700 +} + +div.highlight .-Color[class*=-C41] { + color: #00D75F +} + +div.highlight .-Color[class*=-BGC41] { + background-color: #00D75F +} + +div.highlight .-Color[class*=-C42] { + color: #00D787 +} + +div.highlight .-Color[class*=-BGC42] { + background-color: #00D787 +} + +div.highlight .-Color[class*=-C43] { + color: #00D7AF +} + +div.highlight .-Color[class*=-BGC43] { + background-color: #00D7AF +} + +div.highlight .-Color[class*=-C44] { + color: #00D7D7 +} + +div.highlight .-Color[class*=-BGC44] { + background-color: #00D7D7 +} + +div.highlight .-Color[class*=-C45] { + color: #00D7FF +} + +div.highlight .-Color[class*=-BGC45] { + background-color: #00D7FF +} + +div.highlight .-Color[class*=-C46] { + color: #00FF00 +} + +div.highlight .-Color[class*=-BGC46] { + background-color: #00FF00 +} + +div.highlight .-Color[class*=-C47] { + color: #00FF5F +} + +div.highlight .-Color[class*=-BGC47] { + background-color: #00FF5F +} + +div.highlight .-Color[class*=-C48] { + color: #00FF87 +} + +div.highlight .-Color[class*=-BGC48] { + background-color: #00FF87 +} + +div.highlight .-Color[class*=-C49] { + color: #00FFAF +} + +div.highlight .-Color[class*=-BGC49] { + background-color: #00FFAF +} + +div.highlight .-Color[class*=-C50] { + color: #00FFD7 +} + +div.highlight .-Color[class*=-BGC50] { + background-color: #00FFD7 +} + +div.highlight .-Color[class*=-C51] { + color: #00FFFF +} + +div.highlight .-Color[class*=-BGC51] { + background-color: #00FFFF +} + +div.highlight .-Color[class*=-C52] { + color: #5F0000 +} + +div.highlight .-Color[class*=-BGC52] { + background-color: #5F0000 +} + +div.highlight .-Color[class*=-C53] { + color: #5F005F +} + +div.highlight .-Color[class*=-BGC53] { + background-color: #5F005F +} + +div.highlight .-Color[class*=-C54] { + color: #5F0087 +} + +div.highlight .-Color[class*=-BGC54] { + background-color: #5F0087 +} + +div.highlight .-Color[class*=-C55] { + color: #5F00AF +} + +div.highlight .-Color[class*=-BGC55] { + background-color: #5F00AF +} + +div.highlight .-Color[class*=-C56] { + color: #5F00D7 +} + +div.highlight .-Color[class*=-BGC56] { + background-color: #5F00D7 +} + +div.highlight .-Color[class*=-C57] { + color: #5F00FF +} + +div.highlight .-Color[class*=-BGC57] { + background-color: #5F00FF +} + +div.highlight .-Color[class*=-C58] { + color: #5F5F00 +} + +div.highlight .-Color[class*=-BGC58] { + background-color: #5F5F00 +} + +div.highlight .-Color[class*=-C59] { + color: #5F5F5F +} + +div.highlight .-Color[class*=-BGC59] { + background-color: #5F5F5F +} + +div.highlight .-Color[class*=-C60] { + color: #5F5F87 +} + +div.highlight .-Color[class*=-BGC60] { + background-color: #5F5F87 +} + +div.highlight .-Color[class*=-C61] { + color: #5F5FAF +} + +div.highlight .-Color[class*=-BGC61] { + background-color: #5F5FAF +} + +div.highlight .-Color[class*=-C62] { + color: #5F5FD7 +} + +div.highlight .-Color[class*=-BGC62] { + background-color: #5F5FD7 +} + +div.highlight .-Color[class*=-C63] { + color: #5F5FFF +} + +div.highlight .-Color[class*=-BGC63] { + background-color: #5F5FFF +} + +div.highlight .-Color[class*=-C64] { + color: #5F8700 +} + +div.highlight .-Color[class*=-BGC64] { + background-color: #5F8700 +} + +div.highlight .-Color[class*=-C65] { + color: #5F875F +} + +div.highlight .-Color[class*=-BGC65] { + background-color: #5F875F +} + +div.highlight .-Color[class*=-C66] { + color: #5F8787 +} + +div.highlight .-Color[class*=-BGC66] { + background-color: #5F8787 +} + +div.highlight .-Color[class*=-C67] { + color: #5F87AF +} + +div.highlight .-Color[class*=-BGC67] { + background-color: #5F87AF +} + +div.highlight .-Color[class*=-C68] { + color: #5F87D7 +} + +div.highlight .-Color[class*=-BGC68] { + background-color: #5F87D7 +} + +div.highlight .-Color[class*=-C69] { + color: #5F87FF +} + +div.highlight .-Color[class*=-BGC69] { + background-color: #5F87FF +} + +div.highlight .-Color[class*=-C70] { + color: #5FAF00 +} + +div.highlight .-Color[class*=-BGC70] { + background-color: #5FAF00 +} + +div.highlight .-Color[class*=-C71] { + color: #5FAF5F +} + +div.highlight .-Color[class*=-BGC71] { + background-color: #5FAF5F +} + +div.highlight .-Color[class*=-C72] { + color: #5FAF87 +} + +div.highlight .-Color[class*=-BGC72] { + background-color: #5FAF87 +} + +div.highlight .-Color[class*=-C73] { + color: #5FAFAF +} + +div.highlight .-Color[class*=-BGC73] { + background-color: #5FAFAF +} + +div.highlight .-Color[class*=-C74] { + color: #5FAFD7 +} + +div.highlight .-Color[class*=-BGC74] { + background-color: #5FAFD7 +} + +div.highlight .-Color[class*=-C75] { + color: #5FAFFF +} + +div.highlight .-Color[class*=-BGC75] { + background-color: #5FAFFF +} + +div.highlight .-Color[class*=-C76] { + color: #5FD700 +} + +div.highlight .-Color[class*=-BGC76] { + background-color: #5FD700 +} + +div.highlight .-Color[class*=-C77] { + color: #5FD75F +} + +div.highlight .-Color[class*=-BGC77] { + background-color: #5FD75F +} + +div.highlight .-Color[class*=-C78] { + color: #5FD787 +} + +div.highlight .-Color[class*=-BGC78] { + background-color: #5FD787 +} + +div.highlight .-Color[class*=-C79] { + color: #5FD7AF +} + +div.highlight .-Color[class*=-BGC79] { + background-color: #5FD7AF +} + +div.highlight .-Color[class*=-C80] { + color: #5FD7D7 +} + +div.highlight .-Color[class*=-BGC80] { + background-color: #5FD7D7 +} + +div.highlight .-Color[class*=-C81] { + color: #5FD7FF +} + +div.highlight .-Color[class*=-BGC81] { + background-color: #5FD7FF +} + +div.highlight .-Color[class*=-C82] { + color: #5FFF00 +} + +div.highlight .-Color[class*=-BGC82] { + background-color: #5FFF00 +} + +div.highlight .-Color[class*=-C83] { + color: #5FFF5F +} + +div.highlight .-Color[class*=-BGC83] { + background-color: #5FFF5F +} + +div.highlight .-Color[class*=-C84] { + color: #5FFF87 +} + +div.highlight .-Color[class*=-BGC84] { + background-color: #5FFF87 +} + +div.highlight .-Color[class*=-C85] { + color: #5FFFAF +} + +div.highlight .-Color[class*=-BGC85] { + background-color: #5FFFAF +} + +div.highlight .-Color[class*=-C86] { + color: #5FFFD7 +} + +div.highlight .-Color[class*=-BGC86] { + background-color: #5FFFD7 +} + +div.highlight .-Color[class*=-C87] { + color: #5FFFFF +} + +div.highlight .-Color[class*=-BGC87] { + background-color: #5FFFFF +} + +div.highlight .-Color[class*=-C88] { + color: #870000 +} + +div.highlight .-Color[class*=-BGC88] { + background-color: #870000 +} + +div.highlight .-Color[class*=-C89] { + color: #87005F +} + +div.highlight .-Color[class*=-BGC89] { + background-color: #87005F +} + +div.highlight .-Color[class*=-C90] { + color: #870087 +} + +div.highlight .-Color[class*=-BGC90] { + background-color: #870087 +} + +div.highlight .-Color[class*=-C91] { + color: #8700AF +} + +div.highlight .-Color[class*=-BGC91] { + background-color: #8700AF +} + +div.highlight .-Color[class*=-C92] { + color: #8700D7 +} + +div.highlight .-Color[class*=-BGC92] { + background-color: #8700D7 +} + +div.highlight .-Color[class*=-C93] { + color: #8700FF +} + +div.highlight .-Color[class*=-BGC93] { + background-color: #8700FF +} + +div.highlight .-Color[class*=-C94] { + color: #875F00 +} + +div.highlight .-Color[class*=-BGC94] { + background-color: #875F00 +} + +div.highlight .-Color[class*=-C95] { + color: #875F5F +} + +div.highlight .-Color[class*=-BGC95] { + background-color: #875F5F +} + +div.highlight .-Color[class*=-C96] { + color: #875F87 +} + +div.highlight .-Color[class*=-BGC96] { + background-color: #875F87 +} + +div.highlight .-Color[class*=-C97] { + color: #875FAF +} + +div.highlight .-Color[class*=-BGC97] { + background-color: #875FAF +} + +div.highlight .-Color[class*=-C98] { + color: #875FD7 +} + +div.highlight .-Color[class*=-BGC98] { + background-color: #875FD7 +} + +div.highlight .-Color[class*=-C99] { + color: #875FFF +} + +div.highlight .-Color[class*=-BGC99] { + background-color: #875FFF +} + +div.highlight .-Color[class*=-C100] { + color: #878700 +} + +div.highlight .-Color[class*=-BGC100] { + background-color: #878700 +} + +div.highlight .-Color[class*=-C101] { + color: #87875F +} + +div.highlight .-Color[class*=-BGC101] { + background-color: #87875F +} + +div.highlight .-Color[class*=-C102] { + color: #878787 +} + +div.highlight .-Color[class*=-BGC102] { + background-color: #878787 +} + +div.highlight .-Color[class*=-C103] { + color: #8787AF +} + +div.highlight .-Color[class*=-BGC103] { + background-color: #8787AF +} + +div.highlight .-Color[class*=-C104] { + color: #8787D7 +} + +div.highlight .-Color[class*=-BGC104] { + background-color: #8787D7 +} + +div.highlight .-Color[class*=-C105] { + color: #8787FF +} + +div.highlight .-Color[class*=-BGC105] { + background-color: #8787FF +} + +div.highlight .-Color[class*=-C106] { + color: #87AF00 +} + +div.highlight .-Color[class*=-BGC106] { + background-color: #87AF00 +} + +div.highlight .-Color[class*=-C107] { + color: #87AF5F +} + +div.highlight .-Color[class*=-BGC107] { + background-color: #87AF5F +} + +div.highlight .-Color[class*=-C108] { + color: #87AF87 +} + +div.highlight .-Color[class*=-BGC108] { + background-color: #87AF87 +} + +div.highlight .-Color[class*=-C109] { + color: #87AFAF +} + +div.highlight .-Color[class*=-BGC109] { + background-color: #87AFAF +} + +div.highlight .-Color[class*=-C110] { + color: #87AFD7 +} + +div.highlight .-Color[class*=-BGC110] { + background-color: #87AFD7 +} + +div.highlight .-Color[class*=-C111] { + color: #87AFFF +} + +div.highlight .-Color[class*=-BGC111] { + background-color: #87AFFF +} + +div.highlight .-Color[class*=-C112] { + color: #87D700 +} + +div.highlight .-Color[class*=-BGC112] { + background-color: #87D700 +} + +div.highlight .-Color[class*=-C113] { + color: #87D75F +} + +div.highlight .-Color[class*=-BGC113] { + background-color: #87D75F +} + +div.highlight .-Color[class*=-C114] { + color: #87D787 +} + +div.highlight .-Color[class*=-BGC114] { + background-color: #87D787 +} + +div.highlight .-Color[class*=-C115] { + color: #87D7AF +} + +div.highlight .-Color[class*=-BGC115] { + background-color: #87D7AF +} + +div.highlight .-Color[class*=-C116] { + color: #87D7D7 +} + +div.highlight .-Color[class*=-BGC116] { + background-color: #87D7D7 +} + +div.highlight .-Color[class*=-C117] { + color: #87D7FF +} + +div.highlight .-Color[class*=-BGC117] { + background-color: #87D7FF +} + +div.highlight .-Color[class*=-C118] { + color: #87FF00 +} + +div.highlight .-Color[class*=-BGC118] { + background-color: #87FF00 +} + +div.highlight .-Color[class*=-C119] { + color: #87FF5F +} + +div.highlight .-Color[class*=-BGC119] { + background-color: #87FF5F +} + +div.highlight .-Color[class*=-C120] { + color: #87FF87 +} + +div.highlight .-Color[class*=-BGC120] { + background-color: #87FF87 +} + +div.highlight .-Color[class*=-C121] { + color: #87FFAF +} + +div.highlight .-Color[class*=-BGC121] { + background-color: #87FFAF +} + +div.highlight .-Color[class*=-C122] { + color: #87FFD7 +} + +div.highlight .-Color[class*=-BGC122] { + background-color: #87FFD7 +} + +div.highlight .-Color[class*=-C123] { + color: #87FFFF +} + +div.highlight .-Color[class*=-BGC123] { + background-color: #87FFFF +} + +div.highlight .-Color[class*=-C124] { + color: #AF0000 +} + +div.highlight .-Color[class*=-BGC124] { + background-color: #AF0000 +} + +div.highlight .-Color[class*=-C125] { + color: #AF005F +} + +div.highlight .-Color[class*=-BGC125] { + background-color: #AF005F +} + +div.highlight .-Color[class*=-C126] { + color: #AF0087 +} + +div.highlight .-Color[class*=-BGC126] { + background-color: #AF0087 +} + +div.highlight .-Color[class*=-C127] { + color: #AF00AF +} + +div.highlight .-Color[class*=-BGC127] { + background-color: #AF00AF +} + +div.highlight .-Color[class*=-C128] { + color: #AF00D7 +} + +div.highlight .-Color[class*=-BGC128] { + background-color: #AF00D7 +} + +div.highlight .-Color[class*=-C129] { + color: #AF00FF +} + +div.highlight .-Color[class*=-BGC129] { + background-color: #AF00FF +} + +div.highlight .-Color[class*=-C130] { + color: #AF5F00 +} + +div.highlight .-Color[class*=-BGC130] { + background-color: #AF5F00 +} + +div.highlight .-Color[class*=-C131] { + color: #AF5F5F +} + +div.highlight .-Color[class*=-BGC131] { + background-color: #AF5F5F +} + +div.highlight .-Color[class*=-C132] { + color: #AF5F87 +} + +div.highlight .-Color[class*=-BGC132] { + background-color: #AF5F87 +} + +div.highlight .-Color[class*=-C133] { + color: #AF5FAF +} + +div.highlight .-Color[class*=-BGC133] { + background-color: #AF5FAF +} + +div.highlight .-Color[class*=-C134] { + color: #AF5FD7 +} + +div.highlight .-Color[class*=-BGC134] { + background-color: #AF5FD7 +} + +div.highlight .-Color[class*=-C135] { + color: #AF5FFF +} + +div.highlight .-Color[class*=-BGC135] { + background-color: #AF5FFF +} + +div.highlight .-Color[class*=-C136] { + color: #AF8700 +} + +div.highlight .-Color[class*=-BGC136] { + background-color: #AF8700 +} + +div.highlight .-Color[class*=-C137] { + color: #AF875F +} + +div.highlight .-Color[class*=-BGC137] { + 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ve{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=we.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===ti&&this.cycle()}static get Default(){return ri}static get DefaultType(){return ai}static get NAME(){return"carousel"}next(){this._slide(ze)}nextWhenVisible(){!document.hidden&&Bt(this._element)&&this.next()}prev(){this._slide(Re)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?fe.one(this._element,Ke,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void fe.one(this._element,Ke,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?ze:Re;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&fe.on(this._element,Qe,(t=>this._keydown(t))),"hover"===this._config.pause&&(fe.on(this._element,Xe,(()=>this.pause())),fe.on(this._element,Ue,(()=>this._maybeEnableCycle()))),this._config.touch&&je.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of we.find(".carousel-item img",this._element))fe.on(t,Ge,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(qe)),rightCallback:()=>this._slide(this._directionToOrder(Ve)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new je(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=oi[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=we.findOne(ii,this._indicatorsElement);e.classList.remove(ei),e.removeAttribute("aria-current");const i=we.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(ei),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===ze,s=e||Gt(this._getItems(),i,n,this._config.wrap);if(s===i)return;const 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.collapse.collapsing").filter((t=>t!==this._element)).map((t=>Ei.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(fe.trigger(this._element,hi).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(gi),this._element.classList.add(_i),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi,mi),this._element.style[e]="",fe.trigger(this._element,di)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(fe.trigger(this._element,ui).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(_i),this._element.classList.remove(gi,mi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi),fe.trigger(this._element,fi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(mi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(vi);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(bi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=Ei.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,pi,vi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))Ei.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(Ei);const Ai="dropdown",Ti=".bs.dropdown",Ci=".data-api",Oi="ArrowUp",xi="ArrowDown",ki=`hide${Ti}`,Li=`hidden${Ti}`,Si=`show${Ti}`,Di=`shown${Ti}`,$i=`click${Ti}${Ci}`,Ii=`keydown${Ti}${Ci}`,Ni=`keyup${Ti}${Ci}`,Pi="show",Mi='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',ji=`${Mi}.${Pi}`,Fi=".dropdown-menu",Hi=Kt()?"top-end":"top-start",Bi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",zi=Kt()?"bottom-start":"bottom-end",Ri=Kt()?"left-start":"right-start",qi=Kt()?"right-start":"left-start",Vi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Yi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Ki extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Fi)[0]||we.prev(this._element,Fi)[0]||we.findOne(Fi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Vi}static get DefaultType(){return Yi}static get NAME(){return Ai}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,Si,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Pi),this._element.classList.add(Pi),fe.trigger(this._element,Di,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,ki,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Pi),this._element.classList.remove(Pi),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,Li,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ai.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Pi)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Ri;if(t.classList.contains("dropstart"))return qi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Bi:Hi:e?zi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===xi,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Ki.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(ji);for(const i of e){const e=Ki.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Oi,xi].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Mi)?this:we.prev(this,Mi)[0]||we.next(this,Mi)[0]||we.findOne(Mi,t.delegateTarget.parentNode),o=Ki.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Ii,Mi,Ki.dataApiKeydownHandler),fe.on(document,Ii,Fi,Ki.dataApiKeydownHandler),fe.on(document,$i,Ki.clearMenus),fe.on(document,Ni,Ki.clearMenus),fe.on(document,$i,Mi,(function(t){t.preventDefault(),Ki.getOrCreateInstance(this).toggle()})),Qt(Ki);const Qi="backdrop",Xi="show",Ui=`mousedown.bs.${Qi}`,Gi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ji={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Zi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Gi}static get DefaultType(){return Ji}static get NAME(){return Qi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Xi),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Xi),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Ui),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Ui,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const tn=".bs.focustrap",en=`focusin${tn}`,nn=`keydown.tab${tn}`,sn="backward",on={autofocus:!0,trapElement:null},rn={autofocus:"boolean",trapElement:"element"};class an extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return on}static get DefaultType(){return rn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,tn),fe.on(document,en,(t=>this._handleFocusin(t))),fe.on(document,nn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,tn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===sn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?sn:"forward")}}const ln=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",cn=".sticky-top",hn="padding-right",dn="margin-right";class un{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,hn,(e=>e+t)),this._setElementAttributes(ln,hn,(e=>e+t)),this._setElementAttributes(cn,dn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,hn),this._resetElementAttributes(ln,hn),this._resetElementAttributes(cn,dn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const fn=".bs.modal",pn=`hide${fn}`,mn=`hidePrevented${fn}`,gn=`hidden${fn}`,_n=`show${fn}`,bn=`shown${fn}`,vn=`resize${fn}`,yn=`click.dismiss${fn}`,wn=`mousedown.dismiss${fn}`,En=`keydown.dismiss${fn}`,An=`click${fn}.data-api`,Tn="modal-open",Cn="show",On="modal-static",xn={backdrop:!0,focus:!0,keyboard:!0},kn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ln extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new un,this._addEventListeners()}static get Default(){return xn}static get DefaultType(){return kn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,_n,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(Tn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,pn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Cn),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,fn),fe.off(this._dialog,fn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Zi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new an({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(Cn),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,bn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,En,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,vn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,wn,(t=>{fe.one(this._element,yn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Tn),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,gn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,mn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(On)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(On),this._queueCallback((()=>{this._element.classList.remove(On),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ln.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,An,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,_n,(t=>{t.defaultPrevented||fe.one(e,gn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&Ln.getInstance(i).hide(),Ln.getOrCreateInstance(e).toggle(this)})),Ee(Ln),Qt(Ln);const Sn=".bs.offcanvas",Dn=".data-api",$n=`load${Sn}${Dn}`,In="show",Nn="showing",Pn="hiding",Mn=".offcanvas.show",jn=`show${Sn}`,Fn=`shown${Sn}`,Hn=`hide${Sn}`,Bn=`hidePrevented${Sn}`,Wn=`hidden${Sn}`,zn=`resize${Sn}`,Rn=`click${Sn}${Dn}`,qn=`keydown.dismiss${Sn}`,Vn={backdrop:!0,keyboard:!0,scroll:!1},Yn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Kn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Vn}static get DefaultType(){return Yn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,jn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new un).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Nn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(In),this._element.classList.remove(Nn),fe.trigger(this._element,Fn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,Hn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(Pn),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(In,Pn),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new un).reset(),fe.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Zi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Bn)}:null})}_initializeFocusTrap(){return new an({trapElement:this._element})}_addEventListeners(){fe.on(this._element,qn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Bn))}))}static jQueryInterface(t){return this.each((function(){const e=Kn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Rn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Wn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Mn);i&&i!==e&&Kn.getInstance(i).hide(),Kn.getOrCreateInstance(e).toggle(this)})),fe.on(window,$n,(()=>{for(const t of we.find(Mn))Kn.getOrCreateInstance(t).show()})),fe.on(window,zn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Kn.getOrCreateInstance(t).hide()})),Ee(Kn),Qt(Kn);const Qn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],dd:[],div:[],dl:[],dt:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Xn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Un=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Gn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Xn.has(i)||Boolean(Un.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Jn={allowList:Qn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"

    "},Zn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},ts={entry:"(string|element|function|null)",selector:"(string|element)"};class es extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Jn}static get DefaultType(){return Zn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},ts)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Gn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const is=new Set(["sanitize","allowList","sanitizeFn"]),ns="fade",ss="show",os=".tooltip-inner",rs=".modal",as="hide.bs.modal",ls="hover",cs="focus",hs={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ds={allowList:Qn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},us={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class fs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ds}static get DefaultType(){return us}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(rs),as,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[cs]=!1,this._activeTrigger[ls]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ns,ss),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ns),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new es({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{[os]:this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ns)}_isShown(){return this.tip&&this.tip.classList.contains(ss)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=hs[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ls?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ls?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?cs:ls]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?cs:ls]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(rs),as,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))is.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=fs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(fs);const ps=".popover-header",ms=".popover-body",gs={...fs.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},_s={...fs.DefaultType,content:"(null|string|element|function)"};class bs extends fs{static get Default(){return gs}static get 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Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return xs}static get DefaultType(){return ks}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ht(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(fe.off(this._config.target,ws),fe.on(this._config.target,ws,Ts,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=we.find(Ts,this._config.target);for(const e of t){if(!e.hash||Wt(e))continue;const t=we.findOne(decodeURI(e.hash),this._element);Bt(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(As),this._activateParents(t),fe.trigger(this._element,ys,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))we.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(As);else for(const e of we.parents(t,".nav, .list-group"))for(const t of we.prev(e,Os))t.classList.add(As)}_clearActiveClass(t){t.classList.remove(As);const e=we.find(`${Ts}.${As}`,t);for(const t of e)t.classList.remove(As)}static jQueryInterface(t){return this.each((function(){const e=Ls.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(window,Es,(()=>{for(const t of we.find('[data-bs-spy="scroll"]'))Ls.getOrCreateInstance(t)})),Qt(Ls);const Ss=".bs.tab",Ds=`hide${Ss}`,$s=`hidden${Ss}`,Is=`show${Ss}`,Ns=`shown${Ss}`,Ps=`click${Ss}`,Ms=`keydown${Ss}`,js=`load${Ss}`,Fs="ArrowLeft",Hs="ArrowRight",Bs="ArrowUp",Ws="ArrowDown",zs="Home",Rs="End",qs="active",Vs="fade",Ys="show",Ks=".dropdown-toggle",Qs=`:not(${Ks})`,Xs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Us=`.nav-link${Qs}, .list-group-item${Qs}, [role="tab"]${Qs}, ${Xs}`,Gs=`.${qs}[data-bs-toggle="tab"], .${qs}[data-bs-toggle="pill"], .${qs}[data-bs-toggle="list"]`;class Js extends ve{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),fe.on(this._element,Ms,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?fe.trigger(e,Ds,{relatedTarget:t}):null;fe.trigger(t,Is,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(qs),this._activate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),fe.trigger(t,Ns,{relatedTarget:e})):t.classList.add(Ys)}),t,t.classList.contains(Vs)))}_deactivate(t,e){t&&(t.classList.remove(qs),t.blur(),this._deactivate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),fe.trigger(t,$s,{relatedTarget:e})):t.classList.remove(Ys)}),t,t.classList.contains(Vs)))}_keydown(t){if(![Fs,Hs,Bs,Ws,zs,Rs].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Wt(t)));let i;if([zs,Rs].includes(t.key))i=e[t.key===zs?0:e.length-1];else{const n=[Hs,Ws].includes(t.key);i=Gt(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Js.getOrCreateInstance(i).show())}_getChildren(){return we.find(Us,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=we.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=we.findOne(t,i);s&&s.classList.toggle(n,e)};n(Ks,qs),n(".dropdown-menu",Ys),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(qs)}_getInnerElement(t){return t.matches(Us)?t:we.findOne(Us,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Js.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(document,Ps,Xs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this)||Js.getOrCreateInstance(this).show()})),fe.on(window,js,(()=>{for(const t of we.find(Gs))Js.getOrCreateInstance(t)})),Qt(Js);const Zs=".bs.toast",to=`mouseover${Zs}`,eo=`mouseout${Zs}`,io=`focusin${Zs}`,no=`focusout${Zs}`,so=`hide${Zs}`,oo=`hidden${Zs}`,ro=`show${Zs}`,ao=`shown${Zs}`,lo="hide",co="show",ho="showing",uo={animation:"boolean",autohide:"boolean",delay:"number"},fo={animation:!0,autohide:!0,delay:5e3};class po extends ve{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return fo}static get DefaultType(){return uo}static get NAME(){return"toast"}show(){fe.trigger(this._element,ro).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(lo),qt(this._element),this._element.classList.add(co,ho),this._queueCallback((()=>{this._element.classList.remove(ho),fe.trigger(this._element,ao),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(fe.trigger(this._element,so).defaultPrevented||(this._element.classList.add(ho),this._queueCallback((()=>{this._element.classList.add(lo),this._element.classList.remove(ho,co),fe.trigger(this._element,oo)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(co),super.dispose()}isShown(){return this._element.classList.contains(co)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){fe.on(this._element,to,(t=>this._onInteraction(t,!0))),fe.on(this._element,eo,(t=>this._onInteraction(t,!1))),fe.on(this._element,io,(t=>this._onInteraction(t,!0))),fe.on(this._element,no,(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=po.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named 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100644 index 00000000..28755c2c --- /dev/null +++ b/_build/html/_static/scripts/bootstrap.js.LICENSE.txt @@ -0,0 +1,5 @@ +/*! + * Bootstrap v5.3.3 (https://getbootstrap.com/) + * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors) + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) + */ diff --git a/_build/html/_static/scripts/bootstrap.js.map b/_build/html/_static/scripts/bootstrap.js.map new file mode 100644 index 00000000..e9e81589 --- /dev/null +++ b/_build/html/_static/scripts/bootstrap.js.map @@ -0,0 +1 @@ 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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n });\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref) {\n var name = _ref.name,\n _ref$options = _ref.options,\n options = _ref$options === void 0 ? {} : _ref$options,\n effect = _ref.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n * Bootstrap v5.3.3 (https://getbootstrap.com/)\n * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n set(element, key, instance) {\n if (!elementMap.has(element)) {\n elementMap.set(element, new Map());\n }\n const instanceMap = elementMap.get(element);\n\n // make it clear we only want one instance per element\n // can be removed later when multiple key/instances are fine to be used\n if (!instanceMap.has(key) && instanceMap.size !== 0) {\n // eslint-disable-next-line no-console\n console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n return;\n }\n instanceMap.set(key, instance);\n },\n get(element, key) {\n if (elementMap.has(element)) {\n return elementMap.get(element).get(key) || null;\n }\n return null;\n },\n remove(element, key) {\n if (!elementMap.has(element)) {\n return;\n }\n const instanceMap = elementMap.get(element);\n instanceMap.delete(key);\n\n // free up element references if there are no instances left for an element\n if (instanceMap.size === 0) {\n elementMap.delete(element);\n }\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n if (selector && window.CSS && window.CSS.escape) {\n // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n }\n return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n if (object === null || object === undefined) {\n return `${object}`;\n }\n return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n do {\n prefix += Math.floor(Math.random() * MAX_UID);\n } while (document.getElementById(prefix));\n return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n if (!element) {\n return 0;\n }\n\n // Get transition-duration of the element\n let {\n transitionDuration,\n transitionDelay\n } = window.getComputedStyle(element);\n const floatTransitionDuration = Number.parseFloat(transitionDuration);\n const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n // Return 0 if element or transition duration is not found\n if (!floatTransitionDuration && !floatTransitionDelay) {\n return 0;\n }\n\n // If multiple durations are defined, take the first\n transitionDuration = transitionDuration.split(',')[0];\n transitionDelay = transitionDelay.split(',')[0];\n return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n if (!object || typeof object !== 'object') {\n return false;\n }\n if (typeof object.jquery !== 'undefined') {\n object = object[0];\n }\n return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n // it's a jQuery object or a node element\n if (isElement(object)) {\n return object.jquery ? object[0] : object;\n }\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(parseSelector(object));\n }\n return null;\n};\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false;\n }\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n // Handle `details` element as its content may falsie appear visible when it is closed\n const closedDetails = element.closest('details:not([open])');\n if (!closedDetails) {\n return elementIsVisible;\n }\n if (closedDetails !== element) {\n const summary = element.closest('summary');\n if (summary && summary.parentNode !== closedDetails) {\n return false;\n }\n if (summary === null) {\n return false;\n }\n }\n return elementIsVisible;\n};\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true;\n }\n if (element.classList.contains('disabled')) {\n return true;\n }\n if (typeof element.disabled !== 'undefined') {\n return element.disabled;\n }\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null;\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode();\n return root instanceof ShadowRoot ? root : null;\n }\n if (element instanceof ShadowRoot) {\n return element;\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null;\n }\n return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery;\n }\n return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback();\n }\n });\n }\n DOMContentLoadedCallbacks.push(callback);\n } else {\n callback();\n }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery();\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME;\n const JQUERY_NO_CONFLICT = $.fn[name];\n $.fn[name] = plugin.jQueryInterface;\n $.fn[name].Constructor = plugin;\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT;\n return plugin.jQueryInterface;\n };\n }\n });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback);\n return;\n }\n const durationPadding = 5;\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n let called = false;\n const handler = ({\n target\n }) => {\n if (target !== transitionElement) {\n return;\n }\n called = true;\n transitionElement.removeEventListener(TRANSITION_END, handler);\n execute(callback);\n };\n transitionElement.addEventListener(TRANSITION_END, handler);\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement);\n }\n }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length;\n let index = list.indexOf(activeElement);\n\n // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n }\n index += shouldGetNext ? 1 : -1;\n if (isCycleAllowed) {\n index = (index + listLength) % listLength;\n }\n return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n const uid = makeEventUid(element);\n element.uidEvent = uid;\n eventRegistry[uid] = eventRegistry[uid] || {};\n return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, {\n delegateTarget: element\n });\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn);\n }\n return fn.apply(element, [event]);\n };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector);\n for (let {\n target\n } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue;\n }\n hydrateObj(event, {\n delegateTarget: target\n });\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn);\n }\n return fn.apply(target, [event]);\n }\n }\n };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string';\n // TODO: tooltip passes `false` instead of selector, so we need to check\n const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n let typeEvent = getTypeEvent(originalTypeEvent);\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent;\n }\n return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n return fn.call(this, event);\n }\n };\n };\n callable = wrapFunction(callable);\n }\n const events = getElementEvents(element);\n const handlers = events[typeEvent] || (events[typeEvent] = {});\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff;\n return;\n }\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n fn.delegationSelector = isDelegated ? handler : null;\n fn.callable = callable;\n fn.oneOff = oneOff;\n fn.uidEvent = uid;\n handlers[uid] = fn;\n element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector);\n if (!fn) {\n return;\n }\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {};\n for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n}\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '');\n return customEvents[event] || event;\n}\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false);\n },\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true);\n },\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n const inNamespace = typeEvent !== originalTypeEvent;\n const events = getElementEvents(element);\n const storeElementEvent = events[typeEvent] || {};\n const isNamespace = originalTypeEvent.startsWith('.');\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return;\n }\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n return;\n }\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n }\n }\n for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '');\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n },\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null;\n }\n const $ = getjQuery();\n const typeEvent = getTypeEvent(event);\n const inNamespace = event !== typeEvent;\n let jQueryEvent = null;\n let bubbles = true;\n let nativeDispatch = true;\n let defaultPrevented = false;\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args);\n $(element).trigger(jQueryEvent);\n bubbles = !jQueryEvent.isPropagationStopped();\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n defaultPrevented = jQueryEvent.isDefaultPrevented();\n }\n const evt = hydrateObj(new Event(event, {\n bubbles,\n cancelable: true\n }), args);\n if (defaultPrevented) {\n evt.preventDefault();\n }\n if (nativeDispatch) {\n element.dispatchEvent(evt);\n }\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault();\n }\n return evt;\n }\n};\nfunction hydrateObj(obj, meta = {}) {\n for (const [key, value] of Object.entries(meta)) {\n try {\n obj[key] = value;\n } catch (_unused) {\n Object.defineProperty(obj, key, {\n configurable: true,\n get() {\n return value;\n }\n });\n }\n }\n return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n if (value === 'true') {\n return true;\n }\n if (value === 'false') {\n return false;\n }\n if (value === Number(value).toString()) {\n return Number(value);\n }\n if (value === '' || value === 'null') {\n return null;\n }\n if (typeof value !== 'string') {\n return value;\n }\n try {\n return JSON.parse(decodeURIComponent(value));\n } catch (_unused) {\n return value;\n }\n}\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n },\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n },\n getDataAttributes(element) {\n if (!element) {\n return {};\n }\n const attributes = {};\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '');\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n attributes[pureKey] = normalizeData(element.dataset[key]);\n }\n return attributes;\n },\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {};\n }\n static get DefaultType() {\n return {};\n }\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!');\n }\n _getConfig(config) {\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n _configAfterMerge(config) {\n return config;\n }\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n return {\n ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n };\n }\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const [property, expectedTypes] of Object.entries(configTypes)) {\n const value = config[property];\n const valueType = isElement(value) ? 'element' : toType(value);\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n }\n }\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.3';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super();\n element = getElement(element);\n if (!element) {\n return;\n }\n this._element = element;\n this._config = this._getConfig(config);\n Data.set(this._element, this.constructor.DATA_KEY, this);\n }\n\n // Public\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY);\n EventHandler.off(this._element, this.constructor.EVENT_KEY);\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null;\n }\n }\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated);\n }\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n\n // Static\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY);\n }\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n }\n static get VERSION() {\n return VERSION;\n }\n static get DATA_KEY() {\n return `bs.${this.NAME}`;\n }\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`;\n }\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target');\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href');\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n return null;\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n }\n selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n }\n return selector ? selector.split(',').map(sel => parseSelector(sel)).join(',') : null;\n};\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n },\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector);\n },\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector));\n },\n parents(element, selector) {\n const parents = [];\n let ancestor = element.parentNode.closest(selector);\n while (ancestor) {\n parents.push(ancestor);\n ancestor = ancestor.parentNode.closest(selector);\n }\n return parents;\n },\n prev(element, selector) {\n let previous = element.previousElementSibling;\n while (previous) {\n if (previous.matches(selector)) {\n return [previous];\n }\n previous = previous.previousElementSibling;\n }\n return [];\n },\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling;\n while (next) {\n if (next.matches(selector)) {\n return [next];\n }\n next = next.nextElementSibling;\n }\n return [];\n },\n focusableChildren(element) {\n const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n },\n getSelectorFromElement(element) {\n const selector = getSelector(element);\n if (selector) {\n return SelectorEngine.findOne(selector) ? selector : null;\n }\n return null;\n },\n getElementFromSelector(element) {\n const selector = getSelector(element);\n return selector ? SelectorEngine.findOne(selector) : null;\n },\n getMultipleElementsFromSelector(element) {\n const selector = getSelector(element);\n return selector ? SelectorEngine.find(selector) : [];\n }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n const name = component.NAME;\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n if (isDisabled(this)) {\n return;\n }\n const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n const instance = component.getOrCreateInstance(target);\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]();\n });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$f;\n }\n\n // Public\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n if (closeEvent.defaultPrevented) {\n return;\n }\n this._element.classList.remove(CLASS_NAME_SHOW$8);\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n }\n\n // Private\n _destroyElement() {\n this._element.remove();\n EventHandler.trigger(this._element, EVENT_CLOSED);\n this.dispose();\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this);\n if (typeof config !== 'string') {\n return;\n }\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](this);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$e;\n }\n\n // Public\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this);\n if (config === 'toggle') {\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n event.preventDefault();\n const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n const data = Button.getOrCreateInstance(button);\n data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n};\nconst DefaultType$c = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super();\n this._element = element;\n if (!element || !Swipe.isSupported()) {\n return;\n }\n this._config = this._getConfig(config);\n this._deltaX = 0;\n this._supportPointerEvents = Boolean(window.PointerEvent);\n this._initEvents();\n }\n\n // Getters\n static get Default() {\n return Default$c;\n }\n static get DefaultType() {\n return DefaultType$c;\n }\n static get NAME() {\n return NAME$d;\n }\n\n // Public\n dispose() {\n EventHandler.off(this._element, EVENT_KEY$9);\n }\n\n // Private\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX;\n return;\n }\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX;\n }\n }\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX;\n }\n this._handleSwipe();\n execute(this._config.endCallback);\n }\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n }\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX);\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return;\n }\n const direction = absDeltaX / this._deltaX;\n this._deltaX = 0;\n if (!direction) {\n return;\n }\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n }\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n }\n }\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n }\n\n // Static\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n};\nconst DefaultType$b = {\n interval: '(number|boolean)',\n // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._interval = null;\n this._activeElement = null;\n this._isSliding = false;\n this.touchTimeout = null;\n this._swipeHelper = null;\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n this._addEventListeners();\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$b;\n }\n static get DefaultType() {\n return DefaultType$b;\n }\n static get NAME() {\n return NAME$c;\n }\n\n // Public\n next() {\n this._slide(ORDER_NEXT);\n }\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next();\n }\n }\n prev() {\n this._slide(ORDER_PREV);\n }\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element);\n }\n this._clearInterval();\n }\n cycle() {\n this._clearInterval();\n this._updateInterval();\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n }\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return;\n }\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n return;\n }\n this.cycle();\n }\n to(index) {\n const items = this._getItems();\n if (index > items.length - 1 || index < 0) {\n return;\n }\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n return;\n }\n const activeIndex = this._getItemIndex(this._getActive());\n if (activeIndex === index) {\n return;\n }\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n this._slide(order, items[index]);\n }\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose();\n }\n super.dispose();\n }\n\n // Private\n _configAfterMerge(config) {\n config.defaultInterval = config.interval;\n return config;\n }\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n }\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n }\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners();\n }\n }\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n }\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return;\n }\n\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause();\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout);\n }\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n };\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n };\n this._swipeHelper = new Swipe(this._element, swipeConfig);\n }\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return;\n }\n const direction = KEY_TO_DIRECTION[event.key];\n if (direction) {\n event.preventDefault();\n this._slide(this._directionToOrder(direction));\n }\n }\n _getItemIndex(element) {\n return this._getItems().indexOf(element);\n }\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return;\n }\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n activeIndicator.removeAttribute('aria-current');\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n newActiveIndicator.setAttribute('aria-current', 'true');\n }\n }\n _updateInterval() {\n const element = this._activeElement || this._getActive();\n if (!element) {\n return;\n }\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n this._config.interval = elementInterval || this._config.defaultInterval;\n }\n _slide(order, element = null) {\n if (this._isSliding) {\n return;\n }\n const activeElement = this._getActive();\n const isNext = order === ORDER_NEXT;\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n if (nextElement === activeElement) {\n return;\n }\n const nextElementIndex = this._getItemIndex(nextElement);\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n });\n };\n const slideEvent = triggerEvent(EVENT_SLIDE);\n if (slideEvent.defaultPrevented) {\n return;\n }\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // TODO: change tests that use empty divs to avoid this check\n return;\n }\n const isCycling = Boolean(this._interval);\n this.pause();\n this._isSliding = true;\n this._setActiveIndicatorElement(nextElementIndex);\n this._activeElement = nextElement;\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n nextElement.classList.add(orderClassName);\n reflow(nextElement);\n activeElement.classList.add(directionalClassName);\n nextElement.classList.add(directionalClassName);\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName);\n nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n this._isSliding = false;\n triggerEvent(EVENT_SLID);\n };\n this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n if (isCycling) {\n this.cycle();\n }\n }\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE);\n }\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n }\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element);\n }\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval);\n this._interval = null;\n }\n }\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n }\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n }\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n }\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config);\n if (typeof config === 'number') {\n data.to(config);\n return;\n }\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return;\n }\n event.preventDefault();\n const carousel = Carousel.getOrCreateInstance(target);\n const slideIndex = this.getAttribute('data-bs-slide-to');\n if (slideIndex) {\n carousel.to(slideIndex);\n carousel._maybeEnableCycle();\n return;\n }\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next();\n carousel._maybeEnableCycle();\n return;\n }\n carousel.prev();\n carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel);\n }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n parent: null,\n toggle: true\n};\nconst DefaultType$a = {\n parent: '(null|element)',\n toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isTransitioning = false;\n this._triggerArray = [];\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n for (const elem of toggleList) {\n const selector = SelectorEngine.getSelectorFromElement(elem);\n const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem);\n }\n }\n this._initializeChildren();\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n }\n if (this._config.toggle) {\n this.toggle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$a;\n }\n static get DefaultType() {\n return DefaultType$a;\n }\n static get NAME() {\n return NAME$b;\n }\n\n // Public\n toggle() {\n if (this._isShown()) {\n this.hide();\n } else {\n this.show();\n }\n }\n show() {\n if (this._isTransitioning || this._isShown()) {\n return;\n }\n let activeChildren = [];\n\n // find active children\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n toggle: false\n }));\n }\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return;\n }\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n if (startEvent.defaultPrevented) {\n return;\n }\n for (const activeInstance of activeChildren) {\n activeInstance.hide();\n }\n const dimension = this._getDimension();\n this._element.classList.remove(CLASS_NAME_COLLAPSE);\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n this._element.style[dimension] = 0;\n this._addAriaAndCollapsedClass(this._triggerArray, true);\n this._isTransitioning = true;\n const complete = () => {\n this._isTransitioning = false;\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n this._element.style[dimension] = '';\n EventHandler.trigger(this._element, EVENT_SHOWN$6);\n };\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n const scrollSize = `scroll${capitalizedDimension}`;\n this._queueCallback(complete, this._element, true);\n this._element.style[dimension] = `${this._element[scrollSize]}px`;\n }\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return;\n }\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n if (startEvent.defaultPrevented) {\n return;\n }\n const dimension = this._getDimension();\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n reflow(this._element);\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n for (const trigger of this._triggerArray) {\n const element = SelectorEngine.getElementFromSelector(trigger);\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false);\n }\n }\n this._isTransitioning = true;\n const complete = () => {\n this._isTransitioning = false;\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n this._element.classList.add(CLASS_NAME_COLLAPSE);\n EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n };\n this._element.style[dimension] = '';\n this._queueCallback(complete, this._element, true);\n }\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW$7);\n }\n\n // Private\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle); // Coerce string values\n config.parent = getElement(config.parent);\n return config;\n }\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n }\n _initializeChildren() {\n if (!this._config.parent) {\n return;\n }\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n for (const element of children) {\n const selected = SelectorEngine.getElementFromSelector(element);\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected));\n }\n }\n }\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n // remove children if greater depth\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n }\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return;\n }\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n element.setAttribute('aria-expanded', isOpen);\n }\n }\n\n // Static\n static jQueryInterface(config) {\n const _config = {};\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false;\n }\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config);\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n }\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n event.preventDefault();\n }\n for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n Collapse.getOrCreateInstance(element, {\n toggle: false\n }).toggle();\n }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n};\nconst DefaultType$9 = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._popper = null;\n this._parent = this._element.parentNode; // dropdown wrapper\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n this._inNavbar = this._detectNavbar();\n }\n\n // Getters\n static get Default() {\n return Default$9;\n }\n static get DefaultType() {\n return DefaultType$9;\n }\n static get NAME() {\n return NAME$a;\n }\n\n // Public\n toggle() {\n return this._isShown() ? this.hide() : this.show();\n }\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return;\n }\n const relatedTarget = {\n relatedTarget: this._element\n };\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n if (showEvent.defaultPrevented) {\n return;\n }\n this._createPopper();\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n this._element.focus();\n this._element.setAttribute('aria-expanded', true);\n this._menu.classList.add(CLASS_NAME_SHOW$6);\n this._element.classList.add(CLASS_NAME_SHOW$6);\n EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n }\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return;\n }\n const relatedTarget = {\n relatedTarget: this._element\n };\n this._completeHide(relatedTarget);\n }\n dispose() {\n if (this._popper) {\n this._popper.destroy();\n }\n super.dispose();\n }\n update() {\n this._inNavbar = this._detectNavbar();\n if (this._popper) {\n this._popper.update();\n }\n }\n\n // Private\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n if (this._popper) {\n this._popper.destroy();\n }\n this._menu.classList.remove(CLASS_NAME_SHOW$6);\n this._element.classList.remove(CLASS_NAME_SHOW$6);\n this._element.setAttribute('aria-expanded', 'false');\n Manipulator.removeDataAttribute(this._menu, 'popper');\n EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n }\n _getConfig(config) {\n config = super._getConfig(config);\n if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n }\n return config;\n }\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n }\n let referenceElement = this._element;\n if (this._config.reference === 'parent') {\n referenceElement = this._parent;\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference);\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference;\n }\n const popperConfig = this._getPopperConfig();\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n }\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n }\n _getPlacement() {\n const parentDropdown = this._parent;\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER;\n }\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER;\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n }\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n }\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null;\n }\n _getOffset() {\n const {\n offset\n } = this._config;\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n return offset;\n }\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n };\n\n // Disable Popper if we have a static display or Dropdown is in Navbar\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }];\n }\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n };\n }\n _selectMenuItem({\n key,\n target\n }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n if (!items.length) {\n return;\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n return;\n }\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle);\n if (!context || context._config.autoClose === false) {\n continue;\n }\n const composedPath = event.composedPath();\n const isMenuTarget = composedPath.includes(context._menu);\n if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n continue;\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue;\n }\n const relatedTarget = {\n relatedTarget: context._element\n };\n if (event.type === 'click') {\n relatedTarget.clickEvent = event;\n }\n context._completeHide(relatedTarget);\n }\n }\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n const isInput = /input|textarea/i.test(event.target.tagName);\n const isEscapeEvent = event.key === ESCAPE_KEY$2;\n const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return;\n }\n if (isInput && !isEscapeEvent) {\n return;\n }\n event.preventDefault();\n\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n const instance = Dropdown.getOrCreateInstance(getToggleButton);\n if (isUpOrDownEvent) {\n event.stopPropagation();\n instance.show();\n instance._selectMenuItem(event);\n return;\n }\n if (instance._isShown()) {\n // else is escape and we check if it is shown\n event.stopPropagation();\n instance.hide();\n getToggleButton.focus();\n }\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n event.preventDefault();\n Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true,\n // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n};\nconst DefaultType$8 = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isAppended = false;\n this._element = null;\n }\n\n // Getters\n static get Default() {\n return Default$8;\n }\n static get DefaultType() {\n return DefaultType$8;\n }\n static get NAME() {\n return NAME$9;\n }\n\n // Public\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n this._append();\n const element = this._getElement();\n if (this._config.isAnimated) {\n reflow(element);\n }\n element.classList.add(CLASS_NAME_SHOW$5);\n this._emulateAnimation(() => {\n execute(callback);\n });\n }\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n this._emulateAnimation(() => {\n this.dispose();\n execute(callback);\n });\n }\n dispose() {\n if (!this._isAppended) {\n return;\n }\n EventHandler.off(this._element, EVENT_MOUSEDOWN);\n this._element.remove();\n this._isAppended = false;\n }\n\n // Private\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div');\n backdrop.className = this._config.className;\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE$4);\n }\n this._element = backdrop;\n }\n return this._element;\n }\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement);\n return config;\n }\n _append() {\n if (this._isAppended) {\n return;\n }\n const element = this._getElement();\n this._config.rootElement.append(element);\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback);\n });\n this._isAppended = true;\n }\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n};\nconst DefaultType$7 = {\n autofocus: 'boolean',\n trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isActive = false;\n this._lastTabNavDirection = null;\n }\n\n // Getters\n static get Default() {\n return Default$7;\n }\n static get DefaultType() {\n return DefaultType$7;\n }\n static get NAME() {\n return NAME$8;\n }\n\n // Public\n activate() {\n if (this._isActive) {\n return;\n }\n if (this._config.autofocus) {\n this._config.trapElement.focus();\n }\n EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n this._isActive = true;\n }\n deactivate() {\n if (!this._isActive) {\n return;\n }\n this._isActive = false;\n EventHandler.off(document, EVENT_KEY$5);\n }\n\n // Private\n _handleFocusin(event) {\n const {\n trapElement\n } = this._config;\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return;\n }\n const elements = SelectorEngine.focusableChildren(trapElement);\n if (elements.length === 0) {\n trapElement.focus();\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus();\n } else {\n elements[0].focus();\n }\n }\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return;\n }\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body;\n }\n\n // Public\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth;\n return Math.abs(window.innerWidth - documentWidth);\n }\n hide() {\n const width = this.getWidth();\n this._disableOverFlow();\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n }\n reset() {\n this._resetElementAttributes(this._element, 'overflow');\n this._resetElementAttributes(this._element, PROPERTY_PADDING);\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n }\n isOverflowing() {\n return this.getWidth() > 0;\n }\n\n // Private\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow');\n this._element.style.overflow = 'hidden';\n }\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth();\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return;\n }\n this._saveInitialAttribute(element, styleProperty);\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n };\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty);\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue);\n }\n }\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty);\n // We only want to remove the property if the value is `null`; the value can also be zero\n if (value === null) {\n element.style.removeProperty(styleProperty);\n return;\n }\n Manipulator.removeDataAttribute(element, styleProperty);\n element.style.setProperty(styleProperty, value);\n };\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector);\n return;\n }\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel);\n }\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n backdrop: true,\n focus: true,\n keyboard: true\n};\nconst DefaultType$6 = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n this._isShown = false;\n this._isTransitioning = false;\n this._scrollBar = new ScrollBarHelper();\n this._addEventListeners();\n }\n\n // Getters\n static get Default() {\n return Default$6;\n }\n static get DefaultType() {\n return DefaultType$6;\n }\n static get NAME() {\n return NAME$7;\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n relatedTarget\n });\n if (showEvent.defaultPrevented) {\n return;\n }\n this._isShown = true;\n this._isTransitioning = true;\n this._scrollBar.hide();\n document.body.classList.add(CLASS_NAME_OPEN);\n this._adjustDialog();\n this._backdrop.show(() => this._showElement(relatedTarget));\n }\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n if (hideEvent.defaultPrevented) {\n return;\n }\n this._isShown = false;\n this._isTransitioning = true;\n this._focustrap.deactivate();\n this._element.classList.remove(CLASS_NAME_SHOW$4);\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n }\n dispose() {\n EventHandler.off(window, EVENT_KEY$4);\n EventHandler.off(this._dialog, EVENT_KEY$4);\n this._backdrop.dispose();\n this._focustrap.deactivate();\n super.dispose();\n }\n handleUpdate() {\n this._adjustDialog();\n }\n\n // Private\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop),\n // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n });\n }\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element);\n }\n this._element.style.display = 'block';\n this._element.removeAttribute('aria-hidden');\n this._element.setAttribute('aria-modal', true);\n this._element.setAttribute('role', 'dialog');\n this._element.scrollTop = 0;\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n if (modalBody) {\n modalBody.scrollTop = 0;\n }\n reflow(this._element);\n this._element.classList.add(CLASS_NAME_SHOW$4);\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate();\n }\n this._isTransitioning = false;\n EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n relatedTarget\n });\n };\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n }\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n if (event.key !== ESCAPE_KEY$1) {\n return;\n }\n if (this._config.keyboard) {\n this.hide();\n return;\n }\n this._triggerBackdropTransition();\n });\n EventHandler.on(window, EVENT_RESIZE$1, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog();\n }\n });\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return;\n }\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition();\n return;\n }\n if (this._config.backdrop) {\n this.hide();\n }\n });\n });\n }\n _hideModal() {\n this._element.style.display = 'none';\n this._element.setAttribute('aria-hidden', true);\n this._element.removeAttribute('aria-modal');\n this._element.removeAttribute('role');\n this._isTransitioning = false;\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN);\n this._resetAdjustments();\n this._scrollBar.reset();\n EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n });\n }\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE$3);\n }\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n if (hideEvent.defaultPrevented) {\n return;\n }\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n const initialOverflowY = this._element.style.overflowY;\n // return if the following background transition hasn't yet completed\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return;\n }\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden';\n }\n this._element.classList.add(CLASS_NAME_STATIC);\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC);\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY;\n }, this._dialog);\n }, this._dialog);\n this._element.focus();\n }\n\n /**\n * The following methods are used to handle overflowing modals\n */\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n const scrollbarWidth = this._scrollBar.getWidth();\n const isBodyOverflowing = scrollbarWidth > 0;\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n }\n _resetAdjustments() {\n this._element.style.paddingLeft = '';\n this._element.style.paddingRight = '';\n }\n\n // Static\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](relatedTarget);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return;\n }\n EventHandler.one(target, EVENT_HIDDEN$4, () => {\n if (isVisible(this)) {\n this.focus();\n }\n });\n });\n\n // avoid conflict when clicking modal toggler while another one is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide();\n }\n const data = Modal.getOrCreateInstance(target);\n data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n backdrop: true,\n keyboard: true,\n scroll: false\n};\nconst DefaultType$5 = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isShown = false;\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n this._addEventListeners();\n }\n\n // Getters\n static get Default() {\n return Default$5;\n }\n static get DefaultType() {\n return DefaultType$5;\n }\n static get NAME() {\n return NAME$6;\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n show(relatedTarget) {\n if (this._isShown) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n relatedTarget\n });\n if (showEvent.defaultPrevented) {\n return;\n }\n this._isShown = true;\n this._backdrop.show();\n if (!this._config.scroll) {\n new ScrollBarHelper().hide();\n }\n this._element.setAttribute('aria-modal', true);\n this._element.setAttribute('role', 'dialog');\n this._element.classList.add(CLASS_NAME_SHOWING$1);\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate();\n }\n this._element.classList.add(CLASS_NAME_SHOW$3);\n this._element.classList.remove(CLASS_NAME_SHOWING$1);\n EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n relatedTarget\n });\n };\n this._queueCallback(completeCallBack, this._element, true);\n }\n hide() {\n if (!this._isShown) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n if (hideEvent.defaultPrevented) {\n return;\n }\n this._focustrap.deactivate();\n this._element.blur();\n this._isShown = false;\n this._element.classList.add(CLASS_NAME_HIDING);\n this._backdrop.hide();\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n this._element.removeAttribute('aria-modal');\n this._element.removeAttribute('role');\n if (!this._config.scroll) {\n new ScrollBarHelper().reset();\n }\n EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n };\n this._queueCallback(completeCallback, this._element, true);\n }\n dispose() {\n this._backdrop.dispose();\n this._focustrap.deactivate();\n super.dispose();\n }\n\n // Private\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n return;\n }\n this.hide();\n };\n\n // 'static' option will be translated to true, and booleans will keep their value\n const isVisible = Boolean(this._config.backdrop);\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n });\n }\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return;\n }\n if (this._config.keyboard) {\n this.hide();\n return;\n }\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n });\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config](this);\n });\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n const target = SelectorEngine.getElementFromSelector(this);\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n if (isDisabled(this)) {\n return;\n }\n EventHandler.one(target, EVENT_HIDDEN$3, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus();\n }\n });\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide();\n }\n const data = Offcanvas.getOrCreateInstance(target);\n data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show();\n }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide();\n }\n }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n dd: [],\n div: [],\n dl: [],\n dt: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase();\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n }\n return true;\n }\n\n // Check if a regular expression validates the attribute.\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml;\n }\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml);\n }\n const domParser = new window.DOMParser();\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase();\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove();\n continue;\n }\n const attributeList = [].concat(...element.attributes);\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName);\n }\n }\n }\n return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n allowList: DefaultAllowlist,\n content: {},\n // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '
    '\n};\nconst DefaultType$4 = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n};\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n }\n\n // Getters\n static get Default() {\n return Default$4;\n }\n static get DefaultType() {\n return DefaultType$4;\n }\n static get NAME() {\n return NAME$5;\n }\n\n // Public\n getContent() {\n return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n }\n hasContent() {\n return this.getContent().length > 0;\n }\n changeContent(content) {\n this._checkContent(content);\n this._config.content = {\n ...this._config.content,\n ...content\n };\n return this;\n }\n toHtml() {\n const templateWrapper = document.createElement('div');\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector);\n }\n const template = templateWrapper.children[0];\n const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n if (extraClass) {\n template.classList.add(...extraClass.split(' '));\n }\n return template;\n }\n\n // Private\n _typeCheckConfig(config) {\n super._typeCheckConfig(config);\n this._checkContent(config.content);\n }\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({\n selector,\n entry: content\n }, DefaultContentType);\n }\n }\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template);\n if (!templateElement) {\n return;\n }\n content = this._resolvePossibleFunction(content);\n if (!content) {\n templateElement.remove();\n return;\n }\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement);\n return;\n }\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content);\n return;\n }\n templateElement.textContent = content;\n }\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n }\n _resolvePossibleFunction(arg) {\n return execute(arg, [this]);\n }\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = '';\n templateElement.append(element);\n return;\n }\n templateElement.textContent = element.textContent;\n }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 6],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '
    ' + '
    ' + '
    ' + '
    ',\n title: '',\n trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n }\n super(element, config);\n\n // Private\n this._isEnabled = true;\n this._timeout = 0;\n this._isHovered = null;\n this._activeTrigger = {};\n this._popper = null;\n this._templateFactory = null;\n this._newContent = null;\n\n // Protected\n this.tip = null;\n this._setListeners();\n if (!this._config.selector) {\n this._fixTitle();\n }\n }\n\n // Getters\n static get Default() {\n return Default$3;\n }\n static get DefaultType() {\n return DefaultType$3;\n }\n static get NAME() {\n return NAME$4;\n }\n\n // Public\n enable() {\n this._isEnabled = true;\n }\n disable() {\n this._isEnabled = false;\n }\n toggleEnabled() {\n this._isEnabled = !this._isEnabled;\n }\n toggle() {\n if (!this._isEnabled) {\n return;\n }\n this._activeTrigger.click = !this._activeTrigger.click;\n if (this._isShown()) {\n this._leave();\n return;\n }\n this._enter();\n }\n dispose() {\n clearTimeout(this._timeout);\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n }\n this._disposePopper();\n super.dispose();\n }\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements');\n }\n if (!(this._isWithContent() && this._isEnabled)) {\n return;\n }\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n const shadowRoot = findShadowRoot(this._element);\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n if (showEvent.defaultPrevented || !isInTheDom) {\n return;\n }\n\n // TODO: v6 remove this or make it optional\n this._disposePopper();\n const tip = this._getTipElement();\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n const {\n container\n } = this._config;\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip);\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n }\n this._popper = this._createPopper(tip);\n tip.classList.add(CLASS_NAME_SHOW$2);\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n if (this._isHovered === false) {\n this._leave();\n }\n this._isHovered = false;\n };\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n hide() {\n if (!this._isShown()) {\n return;\n }\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n if (hideEvent.defaultPrevented) {\n return;\n }\n const tip = this._getTipElement();\n tip.classList.remove(CLASS_NAME_SHOW$2);\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n this._activeTrigger[TRIGGER_CLICK] = false;\n this._activeTrigger[TRIGGER_FOCUS] = false;\n this._activeTrigger[TRIGGER_HOVER] = false;\n this._isHovered = null; // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return;\n }\n if (!this._isHovered) {\n this._disposePopper();\n }\n this._element.removeAttribute('aria-describedby');\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n };\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n update() {\n if (this._popper) {\n this._popper.update();\n }\n }\n\n // Protected\n _isWithContent() {\n return Boolean(this._getTitle());\n }\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n }\n return this.tip;\n }\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml();\n\n // TODO: remove this check in v6\n if (!tip) {\n return null;\n }\n tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n // TODO: v6 the following can be achieved with CSS only\n tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n const tipId = getUID(this.constructor.NAME).toString();\n tip.setAttribute('id', tipId);\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE$2);\n }\n return tip;\n }\n setContent(content) {\n this._newContent = content;\n if (this._isShown()) {\n this._disposePopper();\n this.show();\n }\n }\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content);\n } else {\n this._templateFactory = new TemplateFactory({\n ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n });\n }\n return this._templateFactory;\n }\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n };\n }\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n }\n\n // Private\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n }\n _isAnimated() {\n return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n }\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n }\n _createPopper(tip) {\n const placement = execute(this._config.placement, [this, tip, this._element]);\n const attachment = AttachmentMap[placement.toUpperCase()];\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n }\n _getOffset() {\n const {\n offset\n } = this._config;\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n return offset;\n }\n _resolvePossibleFunction(arg) {\n return execute(arg, [this._element]);\n }\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [{\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }, {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n }, {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n }\n }]\n };\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n };\n }\n _setListeners() {\n const triggers = this._config.trigger.split(' ');\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context.toggle();\n });\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n context._enter();\n });\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n context._leave();\n });\n }\n }\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide();\n }\n };\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n }\n _fixTitle() {\n const title = this._element.getAttribute('title');\n if (!title) {\n return;\n }\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title);\n }\n this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n this._element.removeAttribute('title');\n }\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true;\n return;\n }\n this._isHovered = true;\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show();\n }\n }, this._config.delay.show);\n }\n _leave() {\n if (this._isWithActiveTrigger()) {\n return;\n }\n this._isHovered = false;\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide();\n }\n }, this._config.delay.hide);\n }\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout);\n this._timeout = setTimeout(handler, timeout);\n }\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true);\n }\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element);\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute];\n }\n }\n config = {\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n };\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n this._typeCheckConfig(config);\n return config;\n }\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container);\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n };\n }\n if (typeof config.title === 'number') {\n config.title = config.title.toString();\n }\n if (typeof config.content === 'number') {\n config.content = config.content.toString();\n }\n return config;\n }\n _getDelegateConfig() {\n const config = {};\n for (const [key, value] of Object.entries(this._config)) {\n if (this.constructor.Default[key] !== value) {\n config[key] = value;\n }\n }\n config.selector = false;\n config.trigger = 'manual';\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config;\n }\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy();\n this._popper = null;\n }\n if (this.tip) {\n this.tip.remove();\n this.tip = null;\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '
    ' + '
    ' + '

    ' + '
    ' + '
    ',\n trigger: 'click'\n};\nconst DefaultType$2 = {\n ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default$2;\n }\n static get DefaultType() {\n return DefaultType$2;\n }\n static get NAME() {\n return NAME$3;\n }\n\n // Overrides\n _isWithContent() {\n return this._getTitle() || this._getContent();\n }\n\n // Private\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n };\n }\n _getContent() {\n return this._resolvePossibleFunction(this._config.content);\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config);\n if (typeof config !== 'string') {\n return;\n }\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n data[config]();\n });\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n offset: null,\n // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n offset: '(number|null)',\n // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n\n // this._element is the observablesContainer and config.target the menu links wrapper\n this._targetLinks = new Map();\n this._observableSections = new Map();\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n this._activeTarget = null;\n this._observer = null;\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n };\n this.refresh(); // initialize\n }\n\n // Getters\n static get Default() {\n return Default$1;\n }\n static get DefaultType() {\n return DefaultType$1;\n }\n static get NAME() {\n return NAME$2;\n }\n\n // Public\n refresh() {\n this._initializeTargetsAndObservables();\n this._maybeEnableSmoothScroll();\n if (this._observer) {\n this._observer.disconnect();\n } else {\n this._observer = this._getNewObserver();\n }\n for (const section of this._observableSections.values()) {\n this._observer.observe(section);\n }\n }\n dispose() {\n this._observer.disconnect();\n super.dispose();\n }\n\n // Private\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body;\n\n // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n }\n return config;\n }\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return;\n }\n\n // unregister any previous listeners\n EventHandler.off(this._config.target, EVENT_CLICK);\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash);\n if (observableSection) {\n event.preventDefault();\n const root = this._rootElement || window;\n const height = observableSection.offsetTop - this._element.offsetTop;\n if (root.scrollTo) {\n root.scrollTo({\n top: height,\n behavior: 'smooth'\n });\n return;\n }\n\n // Chrome 60 doesn't support `scrollTo`\n root.scrollTop = height;\n }\n });\n }\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n };\n return new IntersectionObserver(entries => this._observerCallback(entries), options);\n }\n\n // The logic of selection\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n this._process(targetElement(entry));\n };\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n this._previousScrollData.parentScrollTop = parentScrollTop;\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null;\n this._clearActiveClass(targetElement(entry));\n continue;\n }\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n // if we are scrolling down, pick the bigger offsetTop\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry);\n // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n if (!parentScrollTop) {\n return;\n }\n continue;\n }\n\n // if we are scrolling up, pick the smallest offsetTop\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry);\n }\n }\n }\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map();\n this._observableSections = new Map();\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue;\n }\n const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n // ensure that the observableSection exists & is visible\n if (isVisible(observableSection)) {\n this._targetLinks.set(decodeURI(anchor.hash), anchor);\n this._observableSections.set(anchor.hash, observableSection);\n }\n }\n }\n _process(target) {\n if (this._activeTarget === target) {\n return;\n }\n this._clearActiveClass(this._config.target);\n this._activeTarget = target;\n target.classList.add(CLASS_NAME_ACTIVE$1);\n this._activateParents(target);\n EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n relatedTarget: target\n });\n }\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n return;\n }\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both