carlo | Web rendering surface for Node applications | Runtime Evironment library
kandi X-RAY | carlo Summary
kandi X-RAY | carlo Summary
Web rendering surface for Node applications
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of carlo
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carlo Examples and Code Snippets
Lines of Code : 8License : Permissive (MIT License)
Copypublic int service(Car car) {
serviceQueue++;
LOG.info("Car {} is being serviced @ CarServiceEjbSingleton - serviceQueue: {}", car, serviceQueue);
simulateService(car);
serviceQueue--;
LOG.info("Car service for INSERT INTO Grades(STUDENT_ID, SName, Grades, Top_Average)VALUES(1001,'Carmina',75)
Error at Command Line : 8 Column : 59
Error report -
SQL Error: ORA-00947: not enough values
00947. 00000 - "not enough values"
Dimport numpy as np
rng = np.random.default_rng()
N = 100000
n = 2
def f(x):
return np.power(x, n)
sample = f(rng.random(N)) # N samples of the function
m = np.mean(sample) # mean value of the sample, approaching integral vcreate table users
(
user_fname varchar,
user_lname varchar,
points int
);
insert into users values ('Carlo','Rossi',33);
insert into users values ('Mario','Bianchi',35);
insert into users values ('Giorgia','Verdi',35);
insert into userclass MCLSTM(keras.layers.LSTM):
def __init__(self, units, **kwargs):
super(MCLSTM, self).__init__(units, **kwargs)
def call(self, inputs, mask=None, training=None, initial_state=None):
return super(MCLSTM, self).caSQL> with test (name, stateid, age, toy, manufacture) as
2 (select 'Carlo', 1, 10, 'Woody', 'Disney' from dual union all
3 select 'Sid' , 1, 10, 'Buzz' , 'Disney' from dual union all
4 select 'Abby' , 1, 10, 'Car' ,import pandas as pd
import numpy as np
from math import exp, sqrt
def monte_carlo_df(nrows,
ncols,
col_1_val,
r=0.03,
q=0.5,
sigma=0.002,
local start = `i' * 30000 + 1
local end = (`i' + 1) * 30000
sysuse auto, clear
foreach i of numlist 0/11 {
preserve
keep price mpg make
local start = (`i' * 3) + 1
local end = (`i' + 1) * 3
lisrandn('state', 100);
S=10; E=9; sigma=0.1; r=0.06; T=1; Dt=1e-3; N=T/Dt;
M = [2^5,2^6,2^7,2^8,2^9,2^10,2^11,2^12,2^13,2^14,2^15,2^16,2^17];
hold on;
for k=1:numel(M)
%No need of loop here. Generate all random values in oneconst data = [
{ class: 'Stazione', content: 'Galleria Gerace' },
{ class: 'TableComune', content: 'Via Carlo Matteucci' },
{ class: 'Red', content: '7 bici libere5 posti disponibili' },
{ class: 'Stazione', content: 'C. Marchesi'Community Discussions
Trending Discussions on carlo
QUESTION
I would like to check if the text of a variable contains some geographical reference. I have created a dictionary with all the municipalities I'm interested in. My goal would be to have a dummy variable capturing whether the text of the variable includes any word included in the dictionary. Can you help me with that? I know it isprobably very easy but I'm struggling to do it.
This is my MWE
...ANSWER
Answered 2021-Jun-14 at 08:34You don't need to create your dictionary from the corpus - instead, create a single dictionary entry for your locality list, and look that up to generate a count of each locality. You can then count them by compiling the dfm, and then converting the feature of that dictionary key into a logical to get the vector you want.
QUESTION
My task is to calculate the approximate value of pi with an accuracy of at least 10^-6. The Monte Carlo algorithm does not provide the required accuracy. I need to use the calculation only through the volume of the sphere. What do you advise? I would be glad to see examples of code in CUDA or pure C++. Thank you.
...ANSWER
Answered 2021-Jun-12 at 12:32Taylor Series can be used to calculate the value of pi accurate up to 5 decimal places.
QUESTION
This is my first post here and I am not that experienced, so please excuse my ignorance.
I am building a Monte Carlo simulation in C++ for my PhD and I need help in optimizing its computational time and performance. I have a 3d cube repeated in each coordinate as a simulation volume and inside every cube magnetic particles are generated in clusters. Then, in the central cube a loop of protons are created and move and at each step calculate the total magnetic field from all the particles (among other things) that they feel.
At this moment I define everything inside the main function and because I need the position of the particles for my calculations (I calculate the distance between the particles during their placement and also during the proton movement), I store them in dynamic arrays. I haven't used any class or function,yet. This makes my simulations really slow because I have to use eventually millions of particles and thousands of protons. Even with hundreds it needs days. Also I use a lot of for and while loops and reading/writing to .dat files.
I really need your help. I have spent weeks trying to optimize my code and my project is behind schedule. Do you have any suggestion? I need the arrays to store the position of the particles .Do you think classes or functions would be more efficient? Any advice in general is helpful. Sorry if that was too long but I am desperate...
Ok, I edited my original post and I share my full script. I hope this will give you some insight regarding my simulation. Thank you.
Additionally I add the two input files
...ANSWER
Answered 2021-Jun-10 at 13:17I talked the problem in more steps, first thing I made the run reproducible:
QUESTION
I have a large DataFrame of distances that I want to classify.
...ANSWER
Answered 2021-Jun-08 at 20:36You can vectorize the calculation using numpy:
QUESTION
I was trying to come up with good solution to convert string to json format but I don't know if it is good enough.
String str = "[(Name:"What We "Need" In Life"Author:"David D."FileSize:2.17)(Name:"The House Of Owls"Author:"Carlos")(Name:"A Poor Wise Man"Author:"Steve Bark"FileSize:1.31)]";
I think maybe I will use str.replace from ( to { and insert comma between the }{ but how can I find the index to insert? and what about the "" for Name,Author,FileSize? After converting to readable json string then I can serialize to json (by gson/jackson).
...ANSWER
Answered 2021-Jun-07 at 09:21If the string you receive does not follow a known standard (Json, Xml...) but it still has a defined structure, then you need to parse the string into the structure that suits you most.
In your example, the string seems to have the structure:
- A list of books wrapped into
[...] - Each book is wrapped into
(...) - Inside each book there is a
Name, anAuthorand sometimes aFileSize.
So basically your POJO is the following:
QUESTION
Why is it that the matrix multiplication with Numpy is much faster than gsl_blas_sgemm from GSL, for instance:
ANSWER
Answered 2021-Jun-06 at 19:52TL;DR: the C++ code and Numpy do not use the same matrix-multiplication library.
The matrix multiplication of the GSL library is not optimized. On my machine, it runs sequentially, does not use SIMD instructions (SSE/AVX), does not efficiently unroll the loops to perform register tiling. I also suspect it also does not use the CPU cache efficiently due to the lack of tiling. These optimizations are critical to achieve high-performance and widely used in fast linear algebra libraries.
Numpy uses a BLAS library installed on your machine. On many Linux platform, its uses OpenBLAS or the Intel MKL. Both are very fast (they use all the methods described above) and should run in parallel.
You can find which implementation of BLAS is used by Numpy here. On my Linux machine, Numpy use by default CBLAS which internally use OpenBLAS (OpenBLAS is strangely not directly detected by Numpy).
There are many fast parallel BLAS implementations (GotoBLAS, ATLAS, BLIS, etc.). The open-source BLIS library is great because its matrix multiplication is very fast on many different architectures.
As a result, the simplest way to improve your C++ code is to use the cblas_sgemm CBLAS function and link a fast BLAS library like OpenBLAS or BLIS for example.
For more information:
One simple way to see how bad the GSL perform is to use a profiler (like perf on Linux or VTune on Windows). In your case Linux perf, report that >99% of the time is spent in libgslcblas.so (ie. the GSL library). More specifically, most of the execution time is spent in this following assembly loop:
QUESTION
ANSWER
Answered 2021-Jun-05 at 21:39Here's a plot to show what you were working with. I'm hoping it will help you understand what I wrote in my comment better:
You seem to be ignoring the rectangle below y=1. It's area (=4) is the missing quantity. So the code is correct for calculating the non-offset expression x^2. Change to y_n <- runif(n, min = 0, max = 5) and re-run the calculations
The comment was half-the answer, i.e. that you hadn't simulated the point that were between 0 and 1 for y_n's. Those need to be in the Monte Carlo model of integration of an area. The other modification is to add in the correct total area of [-2 < x <2]x[0<5] = 4*5 to the calculation of the total "area" under consideration
QUESTION
I have an array: [1,1.2,1.4,1.5.....] with 1000 elements. I would like to randomly pick a value from these choices using a weighted gaussian probability with a given mean. For example, I have set mean value of 25. So the weight of choices is a gaussian function which has mean around 25, i.e the most of the numbers picked are around 25.
Duplicate of this question but using python instead of javascript. Probability curve is something like this:
Background Info I am trying to fit a curve on some data which has asymmetric error bars and I cannot find any python module to do such fitting. So I am doing a Monte-Carlo simulation where I randomly pick x and y data points from the error range with data values as mean and repeat it some (let's say) 1000 times and optimize the mean square error.
This is how my data looks like:
...ANSWER
Answered 2021-Jun-03 at 20:22Couldn't you use take advantage of the numpy random sample method?
QUESTION
long time lurker here My situation is that i've been trying to use namedRoutes with a custom 'NavLink' component to add to my drawer but the links are not navigating to the clicked screen. They do not throw error logs when i click them so i dont know what is happening.
main.dart
...ANSWER
Answered 2021-Jun-03 at 11:42Well, I see that you pop the screen right after you pushed it:
QUESTION
I'm working on a DB that stores information about people in my town. The main table Citizens has all the info, but lacks the DNI row (think of it as the "NIF", an integer number unique for every person), and so I was tasked with updating that table with the DNI values from another one (New_Data). The challenge is to update the Citizens with the DNI field from New_Data.
Both table share the id field, which is formed by the full name + year of birth. I don't have permission to change the structure of any of these tables.
I'm using HeidiSQL to run the queries.
Table structure (simplified)Citizens:
- id VARCHAR(150)
- full_name VARCHAR (150)
- dni VARCHAR (10) -> this row is currently NULL for all values
New_Data:
- id VARCHAR (150)
- dni VARCHAR (10)
I've tried different queries from all over the internet and cannot for the life of my get it to work. Some examples include:
Query #1
...ANSWER
Answered 2021-May-28 at 20:20It seems your MySql session has the safe-updates option set.
In this case, you can't update (nor delete) records without specifying a key (ex. primary key) in the where clause. You can try:
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