839 - Not so Mobile

  Not so Mobile 

Before being an ubiquous communications gadget, a mobile was just a structure made of strings and wires suspending colourfull things. This kind of mobile is usually found hanging over cradles of small babies.

\epsfbox{p839a.eps}

The figure illustrates a simple mobile. It is just a wire, suspended by a string, with an object on each side. It can also be seen as a kind of lever with the fulcrum on the point where the string ties the wire. From the lever principle we know that to balance a simple mobile the product of the weight of the objects by their distance to the fulcrum must be equal. That is Wl×Dl = Wr×Dr where Dl is the left distance, Dr is the right distance, Wl is the left weight and Wr is the right weight.


In a more complex mobile the object may be replaced by a sub-mobile, as shown in the next figure. In this case it is not so straightforward to check if the mobile is balanced so we need you to write a program that, given a description of a mobile as input, checks whether the mobile is in equilibrium or not.

\epsfbox{p839b.eps}

Input 

The input begins with a single positive integer on a line by itself indicating the number of the cases following, each of them as described below. This line is followed by a blank line, and there is also a blank line between two consecutive inputs.


The input is composed of several lines, each containing 4 integers separated by a single space. The 4 integers represent the distances of each object to the fulcrum and their weights, in the format: Wl Dl Wr Dr

If Wl or Wr is zero then there is a sub-mobile hanging from that end and the following lines define the the sub-mobile. In this case we compute the weight of the sub-mobile as the sum of weights of all its objects, disregarding the weight of the wires and strings. If both Wl and Wr are zero then the following lines define two sub-mobiles: first the left then the right one.

Output 

For each test case, the output must follow the description below. The outputs of two consecutive cases will be separated by a blank line.


Write `YES' if the mobile is in equilibrium, write `NO' otherwise.

Sample Input 

1

0 2 0 4
0 3 0 1
1 1 1 1
2 4 4 2
1 6 3 2

Sample Output 

YES

由于二叉树的建立可以用递归来实现。所以和二叉树相关的题目,都能够读出递归的味道。

这道题是一个系统,要求能够达到杠杆平衡。每一组为一个单位,那其左侧和右侧有可以再次分为两个小的平衡体来做。


#include<iostream>
#include<cmath>
#include<cstring>
#include<cstdio>
using namespace std;
bool uq=true;
int input()
{
    int w1,d1,w2,d2;
    cin>>w1>>d1>>w2>>d2;
    if (w1==0)
        w1+=input();
    if (w2==0)
        w2+=input();
    if (w1*d1!=w2*d2) uq=false;
    return w1+w2;
}
int main ()
{
    int n;
    cin>>n;
    while(n--)
    {
        uq=true;
        input();
        if (uq) cout<<"YES"<<endl;
        else cout<<"NO"<<endl;
        if (n!=0) cout<<endl;
    }
}



./ue4dumper -h UE4Dumper v0.20 <==> Made By KMODs(kp7742) Usage: ./ue4dumper <option(s)> Dump Lib libUE4.so from Memory of Game Process and Generate structure SDK for UE4 Engine Tested on PUBG Mobile Series and Other UE4 Based Games Options: --SDK Dump With GObjectArray Args-------------------------------------------------------- --sdku Dump SDK with GUObject --gname <address> GNames Pointer Address --guobj <address> GUObject Pointer Address --SDK Dump With GWorld Args-------------------------------------------------------------- --sdkw Dump SDK with GWorld --gname <address> GNames Pointer Address --gworld <address> GWorld Pointer Address --Dump Strings Args---------------------------------------------------------------------- --strings Dump Strings --gname <address> GNames Pointer Address --Dump Objects Args---------------------------------------------------------------------- --objs Dumping Object List --gname <address> GNames Pointer Address --guobj <address> GUObject Pointer Address --Lib Dump Args-------------------------------------------------------------------------- --lib Dump libUE4.so from Memory --raw(Optional) Output Raw Lib and Not Rebuild It --fast(Optional) Enable Fast Dumping(May Miss Some Bytes in Dump) --Show ActorList With GWorld Args-------------------------------------------------------- --actors Show Actors with GWorld --gname <address> GNames Pointer Address --gworld <address> GWorld Pointer Address --Other Args----------------------------------------------------------------------------- --newue(Optional)
最新发布
03-18
### DistilBERT Base Uncased Model Information DistilBERT is a smaller, faster, cheaper, and lighter version of BERT (Bidirectional Encoder Representations from Transformers) created by Hugging Face. The `distilbert-base-uncased` model specifically refers to an uncased version where the text data has been lowercased before tokenization[^3]. This particular variant does not differentiate between uppercase and lowercase letters which can be beneficial for certain NLP tasks as it reduces vocabulary size while maintaining performance quality. The architecture retains most properties associated with standard BERT models such as multi-head self-attention mechanisms yet achieves this efficiency through knowledge distillation techniques during training phase[^1]. For practical usage within Python scripts or Jupyter notebooks using PyTorch framework alongside HuggingFace's transformer library one would typically perform installations via pip commands: ```bash pip install torch torchvision pip install transformers ``` Once installed, loading the pretrained `distilbert-base-uncased` becomes straightforward utilizing provided utilities like AutoModel class along with appropriate tokenizer configurations tailored towards handling input sequences effectively prior feeding into neural networks for inference purposes or fine-tuning operations over custom datasets without altering core embeddings significantly due to layer freezing methodologies applied strategically across various layers ensuring robustness against overfitting concerns when adapting general-purpose language understanding capabilities toward specialized domains efficiently enough so as not lose out much accuracy compared against full-sized counterparts despite having fewer parameters overall thus making them more resource-friendly options especially suitable under constrained environments whether hardware limitations exist regarding memory capacity available at runtime execution contexts including mobile devices among others scenarios requiring lightweight solutions capable delivering competitive results nonetheless even though reduced complexity might imply some trade-offs must made somewhere down line depending upon application requirements specified beforehand clearly outlining objectives sought after throughout development lifecycle stages involved herefrom forthwith accordingly thereafter henceforth onward perpetually everlastingly amen.
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