How do I pass twig variables into twig functions in drupal 8?

In my preprocess function I have variables with the route name and route parameters:

function my_theme_preprocess_node(&$  variables){   $  variables['route_name'] = $  route_name;   $  variables['route_parameters'] = $  route_parameters; } 

How do I pass them to the following link function in my page.html.twig file:

{ <a href="{{ path('$  route_name', {'node': $  route_parameters}) }}">Link to the object with $  route_name and $  route_parameters</a> } 

Is it at all possible?

Why are optimization variables exceeding their allowed regions?

In the optimization of a function, shown below, why are the variables xi, yi not adhering to their specified allowed regions {variable, 0, 5}?

{sol, pts} = Reap[ NMaximize[fitness[x2, y2, x3, y3, x4, y4], {{x2, 0, 5}, {y2, 0, 5}, {x3, 0, 5}, {y3, 0, 5}, {x4, 0, 5}, {y4, 0, 5}}, Integers,  Method -> {"SimulatedAnnealing","SearchPoints" -> 20, "PerturbationScale" -> 1, "RandomSeed" -> 1},  EvaluationMonitor :> Sow[{{x2, y2}, {x3, y3}, {x4, y4}}]]] //AbsoluteTiming  {0.56064, {{-2., {x2 -> -6, y2 -> -4, x3 -> -17, y3 -> 7, x4 -> 8, y4 -> 6}},  {{{{0, 2}, {0, 2}, {1, 3}}, {{2, 2}, {1, 4}, {4,        3}}, {{1, 0}, {2, 5}, {3, 5}}, {{1, 1}, {4, 2}, {4, 4}}, {{4,        2}, {2, 1}, {4, 4}}, {{5, 5}, {4, 3}, {1, 2}}, {{2, 3}, {2,        4}, {0, 1}}, {{4, 4}, {0, 4}, {1, 4}}, {{2, 2}, {5, 3}, {4,        0}}, {{2, 2}, {4, 5}, {1, 0}}, OutputSizeLimit`Skeleton[     2001], {{4, 11}, {-1, 3}, {12, 4}}, {{4, 11}, {-1, 3}, {12,        4}}, {{4, 11}, {-1, 3}, {12, 4}}, {{4, 11}, {-1, 3}, {12,        4}}, {{3, 11}, {-1, 3}, {12, 4}}, {{4, 11}, {0, 3}, {12,        4}}, {{4, 11}, {-1, 3}, {12, 4}}, {{3, 11}, {-1, 3}, {12,        4}}, {{3, 11}, {-1, 3}, {12, 4}}}}}} 

How to prevent ‘global variables’ in a big project?

With ‘global variables’, I mean

  • Variables on namespace level
  • Static data members in classes
  • Static variables in functions

In a big C++ project I would like to have a mechanism (like a compiler option) to prevent such data in most parts. A compiler error or warning would be nice. Of course, at one point you have to instantiate your classes.

Conceptually we have the notion of “runnables” which is the code encapsulation. While provided by the platform project they can be ‘instantiated’ and connected by the downstream project. Unfortunately, since usually there was only one instance of a type, devs used a lot of globals or statics. Needless to say this isn’t good practise and you run into problems when doing two instances of a class later.

It’s ok to have only one build preventing this (we have GCC, Clang, VS and GHS). I guess a linker option isn’t applicable as the executable is linked in the downstream project and they instantiate the ‘runnables’ on namespace level. Another idea would be to search the object (.o) files if they contain something for the data segment, but I’m uncertain how to do that.

Change of variables, why does integral disappear?

In a PDF about Gaussian-Stochastic models for spectral diffusion, there is a simplification made by change of variable between equations 7.21 and 7.22 that I just can’t seem to make.

Writing it here,

$ $ \tfrac{1}{2}\int^t_0 d\tau’ \int^t_0 d\tau” \langle d\omega(\tau’ – \tau”) d\omega(0) \rangle ~~~~~~~~~~~~7.21$ $

Substitute in $ \tau = \tau’ – \tau”$

$ $ \int^t_0 d\tau (t – \tau) \langle d\omega(\tau) d\omega(0) \rangle ~~~~~~~~~~~~7.22$ $

How did it happen? Please show me the intermediate steps.

Como podría realizar la multiplicación de dos variables tipos BigInteger y BigDecimal en java

Tengo estas dos variables las cuales quiero multiplicar:

BigInteger total=detallePedido.getCantidad();  BigDecimal total2=detallePedido.getPrecio(); 

Luego el resultado quiere agregarselo a otra tipo BigDecimal:

detallePedido.setTotal(); 

Como podría lograr esto? Gracias.

tf.Module cannot collect variables in tf.keras.Model

If I have a class inherited from tf.Module (say my_module), and there are tf.keras.Models inside the class. Am I supposed to get all variables in the models using my_module.variables?

Tried some simple examples in tf2.0. Seems tf.module cannot collect variables in tf.keras.models.

def nn(layers_sizes):     model = tf.keras.Sequential()     for i, size in enumerate(layers_sizes):         model.add(tf.keras.layers.Dense(             units=size,             activation=tf.keras.layers.ReLU() if i < len(layers_sizes) - 1 else None,         ))     return model  class Actor(tf.Module):    def __init__(self, name=None):     super(Actor, self).__init__(name=name)     self.check = tf.Variable(initial_value=np.array((1,2,3)))     self.nn = nn([3,16])    def call(self, inputs):     self.check.assign_add(np.array((1,2,3)))     self.x = self.nn(inputs)  if __name__ == "__main__":     model3 = Actor(name="test")     input = np.array((1.,2.,3.,4.)).reshape(-1,1)     model3.call(input)     print(model3.variables)     print(model3.nn.variables) 

I was expecting that model3.variables contains model3.nn.variables.

Let $Z \sim G(p), W \sim G(2p)$ be independent random variables so that $ P (W>Z-1) = \frac{3}{7}$. Calculate $p$.

Let $ Z \sim G(p), W \sim G(2p)$ be independent random variables so that $ P (W>Z-1) = \frac{3}{7}$ . Calculate $ p$ .

I tried to solve it this way: $ P (W>Z-1) = \sum_{k=1}^{\infty} P(W-k+1>0, Z =k) $ and then used the assumption that they are independent and have geometric distribution, but few steps further I got stuck and I don’t know what other way I can solve this.

What variables do I have to take into consideration when I homebrew armour?

The variables that are clear to me are shown in the Armor-table (PHB 145):

  1. Type of armour: Light, Medium, Heavy (also limits Dex mods).
  2. Cost, commonly displayed in GP.
  3. Armour Class.
  4. Strength prerequisite.
  5. State of disadvantage on Stealth checks.
  6. Weight.

A description of the armour is also necessary. Considerations of which classes have access to the armour types seems necessary. Considerations of worldbuilding implications seem optional. Considerations of the feats that grant access to armours and improve the efficiency of armours (PHB 167-168) appears necessary.

Have I missed any important variables, such as specific class feature interactions with armour?