); }}ConstStyles1 =stylesheet.create ({container: {//Note: The height of the parent view is determined with the child view//change the direction of the spindleFlexdirection:'Row', BackgroundColor:'Purple', //distance from top of spaceMarginTop: -, //Setting the alignment of the spindleJustifycontent:'Center', //to set the alignment of the side axisAlignitems:'Flex-end', //set image wrapping display, default is no line breakFlexwrap:'Wrap', //determines the width of the box widt
First, the theory:1.flex-flowA.flex-direction setting the telescopic flow direction of the telescopic containerB.flex-wrap setting a scaling item in a telescopic container if there is not enough space in the telescopic container, whether the scaling item is wrapped in a telescopic container2.flex-packA. With the same parameters as the Box-pack propertyB.distribute scaling items are evenly distributed across the same lineThe starting edge of the first telescopic project in the C.start telescopic
Common Example 1. Center Alignment"Utf-8"> class="Flex-container"> class="Flex-item">1class="Flex-item">2class="Flex-item">3class="Flex-item">4class="Flex-item">5class="Flex-item">6Effect:2. Adaptive navigation Effect:Align vertically with center"Utf-8"> class="content"> isExtremely difficult to vertically align contentusingTraditional CSS without knowing exactlywhereYou want the item to appear. Typical page layouts for blog posts"Utf-8"> class="Post"> isMy first blog postclass="Post-meta">
React native, through a flexbox layout engine, implements a consistent cross-platform style and layout across all mobile platforms. Main Properties Flex flexdirection alignself alignitems justifycontent flexwrap Properties explain Flex
When an element defines a flex attribute, it means that the element is scalable (Flex has a property value greater than 0 to scale) and can be likened to the weight property in Android.
Class Flexboxrea
First, in the React Native Flexbox has
Flex:1 its child elements have the same length
Justifycontent Vertical Layout
Alignitems Horizontal Layout
Flexdirction row (Landscape) Colum (portrait) Overall direction
Justifycontent (The relationship between child elements and child elements) Flex-start Center Flex-end space-around Space-between Sub-
Alignitems determines the position of your control in the vertical left or right of the screen Flex-start (lef
Generator and iterator in python, python generator Generator
I personally think that iterator and yield implement the same functions, but iterator must be implemented in the class, and yield is implemented in the real function, both of which will save the status.
The generator is also implemented by the iterator.
#! /U
Iterator and generator, generator GeneratorIterable
Definition
1 class Iterable(metaclass=ABCMeta): 2 3 __slots__ = () 4 5 @abstractmethod 6 def __iter__(self): 7 while False: 8 yield None 9 10 @classmethod11 def __subclasshook__(cls, C):12 if cls is Iterable:13 if any("__iter__" in B.__dict__ for B in C.__mro__):14 return True15
Java Web code generator, which focuses on Java Web project general purpose code generator and Java Web Code Generator
This project is a general code generator for the javaWEB project. jsp, js, And java files are generated based on database tables and custom code templates. It is a powerful tool for developing javaweb p
1 Generator, Python builder,2 3 first, familiarize yourself with the definition of the child,4 generator Function Generator functions ,5A generator function is one that is stored in the definition body'yield'the function of the keyword.6 when the generator function is calle
Advanced Usage Analysis of the iterator and generator in Python, python Generator
Iterator
An iterator is an object attached to the iteration protocol. It basically means that it has a next method. When called, it returns the next item in the sequence. When no project can be returned, A (raise) StopIteration exception is thrown.
The iteration object allows a loop. It retains the state (location) of a single
With a deep understanding of the Python Generator (Generator), we can simply create a list using the list generation method, but the list capacity is limited due to memory restrictions. In addition, creating a list containing 1 million elements not only occupies a large storage space, but if we only need to access the first few elements, the space occupied by the vast majority of elements is wasted.
Theref
This article mainly introduces the details of the Python Generator (Generator). This article describes what generators are, simple generators, generators with yield statements, and enhanced generators, for more information, see generate a list. However, due to memory restrictions, the list capacity must be limited. In addition, creating a list containing 1 million elements not only occupies a large storage
This is a series of articles, starting from the basics, and introducing the generator in Python and coroutine (mainly about Coroutine), and detailing the various advanced uses of coroutine in Python, Finally, a simple multi-tasking operating system is implemented with Coroutine.Actually also read this article the study note! O (∩_∩) oGenerator (Generator)What is a gener
tool, even if it provides an infinite number of primes is completely feasible, because it provides only one prime each time, there is no memory exhaustion problem. So, does this tool exist? Of course there is, and the name is called Generator (generator).2, Generator (Generator) Principle Introduction: There is a keyw
Python generator and yield, Python generator yieldList derivation and generator expression
When we create a list, we create an object that can be iterated:
>>> squares=[n*n for n in range(3)]>>> for i in squares:print i014
This kind of list creation operation is very common, called list derivation. However, the list iterators, such as str and file, are easy to us
Python-Generator/point you don't know, python-generator1. What is a generator?
By using the list generation method, we can directly create a list. However, due to memory restrictions, the list capacity must be limited. In addition, creating a list containing 1 million elements not only occupies a large storage space, but if we only need to access the first few elements, the space occupied by the vast majori
Python generator summary, python generator Summary
Generator concept:The generator does not save the results in a series, but stores the results in the generator state. A value is returned each time the iteration is performed until the StopIteration exception ends.A
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