You can use the zip operator to make request in parallel and combine the results eg:
Observable.zip(api.getRepo(repoId1), api.getRepo(repoId2), (repo1, repo2) ->
{
//here you can combine the results
}).subscribe(/*do something with the result*/);
C++11 introduced core language and standard library support for moving an object. The idea is that when an object o is a temporary and one wants a logical copy, then its safe to just pilfer o's resources, such as a dynamically allocated buffer, leaving o logically empty but still destructible and co...
Placeholders allow you to feed values into a tensorflow graph. Aditionally They allow you to specify constraints regarding the dimensions and data type of the values being fed in. As such they are useful when creating a neural network to feed new training examples.
The following example declares a ...
To perform elementwise multiplication on tensors, you can use either of the following:
a*b
tf.multiply(a, b)
Here is a full example of elementwise multiplication using both methods.
import tensorflow as tf
import numpy as np
# Build a graph
graph = tf.Graph()
with graph.as_default():
...
In the following example a 2 by 3 tensor is multiplied by a scalar value (2).
# Build a graph
graph = tf.Graph()
with graph.as_default():
# A 2x3 matrix
a = tf.constant(np.array([[ 1, 2, 3],
[10,20,30]]),
dtype=tf.float32)
...
Variable tensors are used when the values require updating within a session. It is the type of tensor that would be used for the weights matrix when creating neural networks, since these values will be updated as the model is being trained.
Declaring a variable tensor can be done using the tf.Varia...
Type synonym families are just type-level functions: they associate parameter types with result types. These come in three different varieties.
Closed type-synonym families
These work much like ordinary value-level Haskell functions: you specify some clauses, mapping certain types to others:
{-# ...
Data families can be used to build datatypes that have different implementations based on their type arguments.
Standalone data families
{-# LANGUAGE TypeFamilies #-}
data family List a
data instance List Char = Nil | Cons Char (List Char)
data instance List () = UnitList Int
In the above de...
XSS attacks consist in injecting HTML (or JS) code in a page. See What is cross site scripting for more information.
To prevent from this attack, by default, Django escapes strings passed through a template variable.
Given the following context:
context = {
'class_name': 'large" style=&...
The intent attribute of a dummy argument in a subroutine or function declares its intended use. The syntax is either one of
intent(IN)
intent(OUT)
intent(INOUT)
For example, consider this function:
real function f(x)
real, intent(IN) :: x
f = x*x
end function
The intent(IN) specif...
It is possible to create custom routing constraint which can be used inside routes to constraint a parameter to specific values or pattern.
This constrain will match a typical culture/locale pattern, like en-US, de-DE, zh-CHT, zh-Hant.
public class LocaleConstraint : IRouteConstraint
{
pri...
You can use raycasts to check if an ai can walk without falling off the edge of a level.
using UnityEngine;
public class Physics2dRaycast: MonoBehaviour
{
public LayerMask LineOfSightMask;
void FixedUpdate()
{
RaycastHit2D hit = Physics2D.Raycas...
A Bag/ultiset stores each object in the collection together with a count of occurrences. Extra methods on the interface allow multiple copies of an object to be added or removed at once. JDK analog is HashMap<T, Integer>, when values is count of copies this key.
TypeGuavaApache Commons Collec...
This multimap allows duplicate key-value pairs. JDK analogs are HashMap<K, List>, HashMap<K, Set> and so on.
Key's orderValue's orderDuplicateAnalog keyAnalog valueGuavaApacheEclipse (GS) CollectionsJDKnot definedInsertion-orderyesHashMapArrayListArrayListMultimapMultiValueMapFastListMu...
Compare operation with collections - Create collections
1. Create List
DescriptionJDKguavags-collectionsCreate empty listnew ArrayList<>()Lists.newArrayList()FastList.newList()Create list from valuesArrays.asList("1", "2", "3")Lists.newArrayList("1", &...
Suppose we want to count how many counties are there in Texas:
var counties = dbContext.States.Single(s => s.Code == "tx").Counties.Count();
The query is correct, but inefficient. States.Single(…) loads a state from the database. Next, Counties loads all 254 counties with all of the...
Types of columns can be checked by .dtypes atrribute of DataFrames.
In [1]: df = pd.DataFrame({'A': [1, 2, 3], 'B': [1.0, 2.0, 3.0], 'C': [True, False, True]})
In [2]: df
Out[2]:
A B C
0 1 1.0 True
1 2 2.0 False
2 3 3.0 True
In [3]: df.dtypes
Out[3]:
A int64
...
astype() method changes the dtype of a Series and returns a new Series.
In [1]: df = pd.DataFrame({'A': [1, 2, 3], 'B': [1.0, 2.0, 3.0],
'C': ['1.1.2010', '2.1.2011', '3.1.2011'],
'D': ['1 days', '2 days', '3 days'],
...
select_dtypes method can be used to select columns based on dtype.
In [1]: df = pd.DataFrame({'A': [1, 2, 3], 'B': [1.0, 2.0, 3.0], 'C': ['a', 'b', 'c'],
'D': [True, False, True]})
In [2]: df
Out[2]:
A B C D
0 1 1.0 a True
1 2 2.0 b False
2...
get_dtype_counts method can be used to see a breakdown of dtypes.
In [1]: df = pd.DataFrame({'A': [1, 2, 3], 'B': [1.0, 2.0, 3.0], 'C': ['a', 'b', 'c'],
'D': [True, False, True]})
In [2]: df.get_dtype_counts()
Out[2]:
bool 1
float64 1
int64 1
obje...
