solvere | validating recursive DNS resolver library and standalone | DNS library
kandi X-RAY | solvere Summary
kandi X-RAY | solvere Summary
A simple Golang package and standalone server for recursive DNS resolution. Golang >= 1.7 is required to make use of the new standard library context package.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Lookup implements the Resolver interface .
- main is the main entry point for testing
- verifyNODATA verifies that nsec is a DNAME RR .
- isAlias checks if the question is an alias .
- verifyRRSIG verifies that a message has a valid signature .
- minTTL returns the minimum TTL of a list of RRs
- NewRecursiveResolver creates a new recursive resolver .
- splitAuthsByZone splits auths into a map .
- verifyDelegation verifies that the given delegation is valid for the given delegation
- checkDS returns nil if parentDS is a valid KSK .
solvere Key Features
solvere Examples and Code Snippets
Community Discussions
Trending Discussions on solvere
QUESTION
I am using cusolverDnCgesvdjBatched function to calculate singular value decomposition (SVD) of multiple matrices, I use cuda-memcheck to check any memory issues, I am getting an error like this in the cusolverDnCgesvdjBatched function.
...ANSWER
Answered 2021-Mar-22 at 15:52Referring to the documentation, for the info parameter:
info device output an integer array of dimension batchSize
So this is expected to be an array of integers of size equal to the number of matrices in the batch. This makes sense because we expect one of these info reports for each matrix. But your allocation does not do that:
QUESTION
What I Have
Using OptaPlanner 7.45.0.Final on Java 8.
I am working on a proof-of-concept for scheduling of shifts, where I have created CrewAssignment object as a @PlanningEntity.
I have created my own EasyScoreCalculator implementation (from the new non-deprecated EasyScoreCalculator).
The score function returns a HardMediumSoftScore, with Hard representing physical possibility (can't be in 2 places at once, can't take on an activity that starts in a different place than the previous activity ended), Medium representing legal issues (maximum work day, etc.), and Soft roughly representing financial concerns.
The behavior I am getting
The schedule seemed to work well for small datasets where there are many good possible Solutions. However, when I moved to larger datasets, it had a harder time returning good final schedules. There would be scores like -60hard/-390060medium/-1280457soft, which seems really bad. Moreover, if I increased the time available, the score would sometimes get worse!
Things I have tried
I put a print in my score function for the score being calculated. It would often give scores such as 0hard/0medium/-2250411soft, which in comparison to the final scores is great! However, the final result would still be a bad score.
I added a SolverEventListener to the Solver, and it is only called once at the very end of the solving.
I thought maybe there was a problem with cloning of the Solution, so I created my own SolutionCloner. It is called once at the beginning, and twice at the end. Since it is called so infrequently, I suspect the solver uses the first Solution clone as the best score, tries to copy the values from the current Solution iteration to the best Solution, but given that the SolverEventListener is only called once, that may indicate that it is not recognizing the best solution.
I tried simplifying to a HardSoftScore by combining Hard and Medium values, but the behavior is the same.
I tried calling solverConfig.setEnvironmentMode(EnvironmentMode.NON_INTRUSIVE_FULL_ASSERT); (yes, I'm programatically creating the SolverConfig, but the behavior does not change.
Relevant Code Snippets
Subset of the CrewAssignment @PlanningEntity:
ANSWER
Answered 2020-Nov-03 at 07:53if I increased the time available, the score would sometimes get worse! That is impossible (if it gets more steps in the second run, which it should, and it is a reproducible run, which it is).
Does the DEBUG log show it's running more "LS step" lines? If it does, you might have score corruption, but NON_INTRUSIVE_FULL_ASSERT or FULL_ASSERT would detect that if they run long enough (much longer than without because they are slower).
Normally, optaplanner runs are 100% reproducible, given the same amount of steps (~ same amount of time give or take a few steps). Check your DEBUG log if that's the case. Simulated Annealing isn't reproducible, but that's off by default.
OptaPlanner Benchmark is your best friend. Especially the BEST_SCORE graph and the score calculation speed number. Run it 4 times longer, so you can see how the BEST_SCORE graph behaves if given more time. Also, subSingleCount might be an interesting thing to turn on here, to see how sensitive the optimization is to a good random seed (it shouldn't be).
QUESTION
I am trying to solve a LP problem using PuLP on a Google Colab Notebook. To produce a sensitivity report, I want to use the '--ranges filename.txt' option of the GLPK solver. I have installed both PuLP and GLPK as follows:
ANSWER
Answered 2020-Oct-23 at 14:10The options argument to pass to GLPK_CMD need to have no spaces, so:
QUESTION
I am trying to solve an MIP using PuLP on a Mac. I have already added the directory
'/Applications/CPLEX_Studio1210/cplex/python/3.7/x86-64_osx',
to my PYTHONPATH. But whenever I try
prob.solve(CPLEX_CMD()),
I receive the following error message:
...ANSWER
Answered 2020-Jun-04 at 12:57can you try
QUESTION
so I'm trying to run a linear optimization on google colab using pulp library. However, when I run the solve function it return this error PulpSolverError: Pulp: Error while executing /usr/local/lib/python3.6/dist-packages/pulp/apis/../solverdir/cbc/linux/64/cbc.
When I check the path of the previously installed cbc solver using which, it returns this path /usr/bin/cbc. So it looks like it is a path problem.
Any clue on how to solve this? I'm using version 2.1 of pulp and version 2.9.9+repack1-1 of coinor-cbc. Thanks!
...ANSWER
Answered 2020-Apr-28 at 07:06You can specify explicitly the CBC path. Example:
QUESTION
Just started experimenting with CUDA and I've hit a roadblock :(
I'm trying to sum a few double variables with high precision, but the result is staggeringly different (after the decimal point) when performing the addition on the device vs the host. I've tested the following sample code using nvcc:
...ANSWER
Answered 2020-Apr-21 at 13:29As has been discussed in comments, the root cause appears to be FMAD instruction generation on the GPU. I don't have access a system to test what result would be generated if FMA3/FMA4 instructions were used to use CPU side FMADD instructions. The result might be different under such conditions.
However, you need to be extremely careful when looking at examples like this because what you are seeing isn't necessarily attributable to CPU versus GPU differences.
To show what I mean look at a simplified (and more complex) version of your host code:
QUESTION
I have a recursive maze solver with one image (PNG, 200x200) I have tried using try/except to print an exception but nothing prints.
Recursive function
...ANSWER
Answered 2020-Apr-05 at 16:06There are some various problems with your code, but I think what is happening is that you are running over the recursion limit. Your maze is fairly large and complex. I needed to use 4000 (For me, 1000 is the default, and 3000 wasn't large enough).
Not sure what image library you're using; I used PIL.Image
Your input image is actually 203x203, and there is a challenge to locate the entrance and exit. I assumed the entrance is at the top or on the left side, and the exit is on the right side or along the bottom.
QUESTION
I would like to run Microsoft Solver Foundation in parallel tasks. I tried with the solution below and it throws an exception "ArgumentException: exePath must be specified when not running inside a stand alone exe.". It runs fine one after another but I need to run multiple tasks in parallel to speed up the process.
This is my solver method
...ANSWER
Answered 2020-Mar-16 at 12:14Okay, I'm able to resolve my problem. I still don't know what is the root cause but I can fix it by creating a field in the constructor instead of in the task.
Remove this.
QUESTION
Please explain what I should do slowly. I am trying to install cvxpy on my machine. I have installed python, visual studio build tools and tried in command prompt but I got errors when I tried to install. So I ditched that idea and installed anaconda and I am now able to install and but fail nosestests.
...ANSWER
Answered 2020-Mar-01 at 01:45I was finally able to install cvxpy successfully. I found this github issue very helpful. I ended up install Python 3.8 (64-bit) instead of (32-bit) which I had by accident. I installed
(numpy+mkl, scipy, cvxopt, scs, ecos, and osqp) in that order and all from downloaded wheels except for scs which I did using pip install scs I then did pip install nose and then nosetests cvxpy and go the following output:
QUESTION
I'm recently using optaplanner with business-central (workbench) and KIE servers on a docker container.
KIE server image: jboss/kie-server-showcase:latest Business central image: business-central-workbench-showcase:latest
When i try to add a Local Search to my solver configuration file this error prompts:
...ANSWER
Answered 2020-Jan-24 at 09:56I've created a jira to track this issue: https://issues.redhat.com/browse/PLANNER-1806
Meanwhile, use the OptaPlanner "Getting Started" chapter instead.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install solvere
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
