profiling

问题 EDIT 1 I do not exclude at all this might be caused by something very basic side effect of using the Profiler (some faulty setting in my "regular" project) I wanted to improve Computing Time in my Application, so I decided to go through a thorough profiling analysis. So I just launched a .Net Memory Allocation Profiling to analyze my App. I was completely stunned to watch computing go x20 times faster ! Application consists of Reading Data from Binary Files with BackgroundWorkers, process

问题 TL; DR After reading the passage about persistence in Okasaki's Purely Functional Data Structures and going over his illustrative examples about singly linked lists (which is how Haskell's lists are implemented), I was left wondering about the space complexities of Data.List 's inits and tails ... It seems to me that the space complexity of tails is linear in the length of its argument, and the space complexity of inits is quadratic in the length of its argument, but a simple benchmark

问题 I have been profiling a React app using Chrome dev tools and I've discovered a linearly increasing Listener count. Take a look at the screenshot below. The Listeners are in orange. I narrowed it down to a simple countdown value render inside p tags. The remaining time is generated using setInterval function every 1000ms and then formatted and rendered inside the p tags. I created a simple React app using create-react-app and modified the code inside the App.js's App component to update the

问题 I have been profiling a React app using Chrome dev tools and I've discovered a linearly increasing Listener count. Take a look at the screenshot below. The Listeners are in orange. I narrowed it down to a simple countdown value render inside p tags. The remaining time is generated using setInterval function every 1000ms and then formatted and rendered inside the p tags. I created a simple React app using create-react-app and modified the code inside the App.js's App component to update the

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . Is there an Ant profiler that will run my ant script and tell me how long targets, tasks and operations took to complete? Thanks 回答1: Ant has two related features to allow the build process to be monitored => listeners and loggers : Ant >= 1.8.x ships with the ProfileLogger Ant statistics, a logger that logs

问题 I had a quick look on the forums and I don't think this question has been asked already. I am currently working with an MPI/CUDA hybrid code, made by somebody else during his PhD. Each CPU has its own GPU. My task is to gather data by running the (already working) code, and implement extra things. Turning this code into a single CPU / Multi-GPU one is not an option at the moment (later, possibly.). I would like to make use of performance profiling tools to analyse the whole thing. For now an

问题 I'm trying to find a cause of freezes on UI thread in my app in certain conditions. I have run the app through DDMS profiling. But in the bottom tree-table view I see all the methods called on all threads, whereas I would like to focus only on main thread. Is there a way to filter the bottom tree-table list of methods in DDMS, to include only statistics for a chosen thread (UI thread in my case) ? A sub-question: is there some good Android profiler out there? 回答1: The UI doesn't provide a way

问题 See the following Maven generated project target classes test-classes src main java scripts resources datasource-settings.xml test java resources datasource-settings.xml I would like, when running a test , to use the settings found in test/resources/datasource-settings.xml instead of main/resources/datasource-settings.xml. Is it possible ? If so, what should i do to get my goal ? 回答1: Resources placed in ${basedir}/src/test/resources (the default location) will be automatically added to the

问题 I am trying to figure out how I can run Python's line_profiler to get the line by line execution times in the format given in the answer to this question. I installed the module and am calling its LineProfiler object as below but the output I get is just a single time and not a line by line summary. Any ideas? Furthermore, how can I get the time for the numbers = [random.randint(1,100) for i in range(1000)] line that is outside any function? from line_profiler import LineProfiler import

问题 How do I profile a MySQL database. I want to see all the SQL being run against a database. I know you can do this: set profiling=1; Run your slow query (eg SELECT * FROM messages WHERE fromaddress='xxx'; SHOW PROFILES; But this seem to only apply to stuff run on the command line, I want to see the results from running a website. 回答1: You want the query log - but obviously doing this on a heavy production server could be... unwise. 回答2: That worked for me on Ubuntu. Find and open your MySQL