timings | Source to the Aikar 's Minecraft Timings Viewer | Plugin library

 by   aikar JavaScript Version: Current License: MIT

kandi X-RAY | timings Summary

kandi X-RAY | timings Summary

timings is a JavaScript library typically used in Plugin, Minecraft applications. timings has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Aikar’s Minecraft Timings Viewer v2.
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            kandi-support Support

              timings has a low active ecosystem.
              It has 175 star(s) with 40 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 23 open issues and 30 have been closed. On average issues are closed in 67 days. There are 23 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of timings is current.

            kandi-Quality Quality

              timings has 0 bugs and 0 code smells.

            kandi-Security Security

              timings has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              timings code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              timings is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              timings releases are not available. You will need to build from source code and install.

            Top functions reviewed by kandi - BETA

            kandi has reviewed timings and discovered the below as its top functions. This is intended to give you an instant insight into timings implemented functionality, and help decide if they suit your requirements.
            • Obtains a token and obfuscated text
            • Parses a CSS string .
            • Copy a file to target .
            • Generate the webpack output .
            • Applies an interpolation string to an array of characters .
            • Initialize an editor
            • Schedule a task .
            • Execute command .
            • clear all obators
            • function to call when done
            Get all kandi verified functions for this library.

            timings Key Features

            No Key Features are available at this moment for timings.

            timings Examples and Code Snippets

            Initialize the graph .
            pythondot img1Lines of Code : 25dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self, step_stats, graph=None):
                """Constructs a new Timeline.
            
                A 'Timeline' is used for visualizing the execution of a TensorFlow
                computation.  It shows the timings and concurrency of execution at
                the granularity of Tensor  
            Do timings .
            javadot img2Lines of Code : 24dot img2no licencesLicense : No License
            copy iconCopy
            private static void doTimings(String type, List list) {
                     
                    for(int i=0; i<1E5; i++) {
                        list.add(i);
                    }
                     
                    long start = System.currentTimeMillis();
                     
                    /*
                    // Add items at end of   

            Community Discussions

            QUESTION

            C++11 multithreaded cancellable slice-based work
            Asked 2022-Apr-17 at 18:39

            I am trying to create a base class to manage a slice-based workload.
            My approach was to create a base abstract class that handles the initialization/termination of the work and inherit from that class in specific classes that only specify the actual work and timings.
            I also added the functionality in the base class to reinitialize the workload if a set number of errors occur.

            This works as expected in a simple example (given below) and with most workloads that I have but when I try to use this with a specific workload (reading a serial port that's written to by an arduino) it completely messes up the stream read from arduino.
            I suspect there is some problem with my approach but I couldn't figure it out...

            Here is my code:

            sliceWork.h

            ...

            ANSWER

            Answered 2022-Apr-17 at 13:21
            General Observations:

            While the code compiles and runs on Windows 10 in Visual Studio 2019, there are multiple problems here, not necessarily with threading.

            1. Without knowing what the expected output for the test case it is very difficult to determine if the code is running correctly.
            2. Object oriented programming rules are being broken, there doesn't seem to be any encapsulation. All of the variables and methods are public.
            3. This looks more like C code that C++ code except for the classes themselves.
            4. I am providing a review to address the C++ issues, we don't debug problems on code review, and we would need to see the the Arduno code to help debug it (on Stack Overflow, not Code Review).
            Avoid using namespace std;

            If you are coding professionally you probably should get out of the habit of using the using namespace std; statement. The code will more clearly define where cout and other identifiers are coming from (std::cin, std::cout). As you start using namespaces in your code it is better to identify where each function comes from because there may be function name collisions from different namespaces. The identifiercout you may override within your own classes, and you may override the operator << in your own classes as well. This stack overflow question discusses this in more detail.

            Never put using namespace std into a header file.

            Declare Public Variables and Methods at the Top of the Class

            A general best practice is to declare public variables and methods at the top of the class followed by the protected variables and methods and then finally the private variables and methods. This makes it easier for the users of the class to find the interfaces they need.

            While the C++ language does provide a default for variables and methods declared at the top of the class, the code is easier to read and maintain if the public, protected and private keywords are explicit.

            Prefer C++ I/O Over C Programming I/O

            While C++ is backward compatible with C, using printf() in C++ is exceptionally rare, std::cin and std::cout are preferred in C++.

            A Base Class Does Not Need to be an Abstract Class

            You can provide default functions for the virtual methods init() and oneSliceWork(). This would reduce the repetition of code in the test case, and still allow for the virtual methods to be overwritten when necessary.

            Source https://stackoverflow.com/questions/71904521

            QUESTION

            How can i fix Task was destroyed but it is pending?
            Asked 2022-Apr-05 at 01:02

            I have a problem. So I have a task that runs every time when a user writes a chat message on my discord server - it's called on_message. So my bot has many things to do in this event, and I often get this kind of error:

            ...

            ANSWER

            Answered 2022-Mar-20 at 16:25

            IODKU lets you eliminate the separate SELECT:

            Source https://stackoverflow.com/questions/71542947

            QUESTION

            Why is it faster to compare strings that match than strings that do not?
            Asked 2022-Mar-30 at 11:58

            Here are two measurements:

            ...

            ANSWER

            Answered 2022-Mar-30 at 11:57

            Combining my comment and the comment by @khelwood:

            TL;DR:
            When analysing the bytecode for the two comparisons, it reveals the 'time' and 'time' strings are assigned to the same object. Therefore, an up-front identity check (at C-level) is the reason for the increased comparison speed.

            The reason for the same object assignment is that, as an implementation detail, CPython interns strings which contain only 'name characters' (i.e. alpha and underscore characters). This enables the object's identity check.

            Bytecode:

            Source https://stackoverflow.com/questions/71644405

            QUESTION

            Python script doing multiple things at once
            Asked 2022-Mar-23 at 02:48

            I'm trying to make a raspberry pi control an addressable LED strip using a webserver. Because I can't port forward, the webserver is hosted on python anywhere and the pi is constantly sending get requests to see if it needs to change the lighting.

            Certain lighting effects will have their own timings and will need to loop on their own, like a rainbow effect for instance which will loop and update the LED colours at 10Hz. How can I have a script updating the LED colours while it also has to send the get requests? The get requests are relatively slow, so putting them in the same loop doesn't seem like a viable option.

            Edit: Thanks for the responses. Turns out I was looking for asynchronous programming.

            ...

            ANSWER

            Answered 2022-Mar-23 at 02:47

            You can do this pretty simply with asyncio. Do note that for doing web requests you should also use an async library like aiohttp. Otherwise the blocking http call will delay the other task from running.

            Here's an example where you use a context object to allow sharing data between the different tasks. Both tasks will need to have some await calls in them which is what allows asyncio to switch between the running tasks to achieve concurrency.

            Source https://stackoverflow.com/questions/71581123

            QUESTION

            Dramatic drop in numpy fromfile performance when switching from python 2 to python 3
            Asked 2022-Mar-16 at 23:53
            Background

            I am analyzing large (between 0.5 and 20 GB) binary files, which contain information about particle collisions from a simulation. The number of collisions, number of incoming and outgoing particles can vary, so the files consist of variable length records. For analysis I use python and numpy. After switching from python 2 to python 3 I have noticed a dramatic decrease in performance of my scripts and traced it down to numpy.fromfile function.

            Simplified code to reproduce the problem

            This code, iotest.py

            1. Generates a file of a similar structure to what I have in my studies
            2. Reads it using numpy.fromfile
            3. Reads it using numpy.frombuffer
            4. Compares timing of both
            ...

            ANSWER

            Answered 2022-Mar-16 at 23:52

            TL;DR: np.fromfile and np.frombuffer are not optimized to read many small buffers. You can load the whole file in a big buffer and then decode it very efficiently using Numba.

            Analysis

            The main issue is that the benchmark measure overheads. Indeed, it perform a lot of system/C calls that are very inefficient. For example, on the 24 MiB file, the while loops calls 601_214 times np.fromfile and np.frombuffer. The timing on my machine are 10.5s for read_binary_npfromfile and 1.2s for read_binary_npfrombuffer. This means respectively 17.4 us and 2.0 us per call for the two function. Such timing per call are relatively reasonable considering Numpy is not designed to efficiently operate on very small arrays (it needs to perform many checks, call some functions, wrap/unwrap CPython types, allocate some objects, etc.). The overhead of these functions can change from one version to another and unless it becomes huge, this is not a bug. The addition of new features to Numpy and CPython often impact overheads and this appear to be the case here (eg. buffering interface). The point is that it is not really a problem because there is a way to use a different approach that is much much faster (as it does not pay huge overheads).

            Faster Numpy code

            The main solution to write a fast implementation is to read the whole file once in a big byte buffer and then decode it using np.view. That being said, this is a bit tricky because of data alignment and the fact that nearly all Numpy function needs to be prohibited in the while loop due to their overhead. Here is an example:

            Source https://stackoverflow.com/questions/71411907

            QUESTION

            Converting Firebase Realtime database json response from _InternalLinkedHashMap to Map
            Asked 2022-Mar-12 at 18:49

            I have a database in my Firebase Realtime database with children that look like this:

            Here's the JSON that I receive in my Flutter app from my firebase call:

            ...

            ANSWER

            Answered 2021-Sep-30 at 03:21

            I see the problem is within your fromJson method:

            When creating named constructors, you have 2 possible syntaxes to it:

            1. Quick define some params with initializers, without access to this

            In this situation, imagine you have a subclass called PickUpGameDetails.noReview where you'd create a fixed userReview object. In this case, you wouldn't process any extra params, only simplify the constructor using initialiser for some params. For this to work, you would add the initialiser before the {, using the :, being something like this (in this case you wouldn't even need to create the context with { }, unless you want to do extra operations besides the initialisers):

            Source https://stackoverflow.com/questions/69345005

            QUESTION

            Plot data value on Timeline axis in Bar chart using MPAndroidChart
            Asked 2022-Mar-11 at 17:00

            I want to plot Bar charts in an Android app similar to "Health" app of iOS.

            Here are screenshots.

            I tried to plot using MPAndroidChart. I have seen examples given in that library but didn't able to plot as per my requirement.

            I am able to display bars for 1 year graph (2nd screenshot) because it has 12 data points and 12 x-axis labels. But for one day graph, there is a need to display bars between 2 labels of x-axis.

            Also didn't understand how I map the time duration of 24 hours or any other on x-axis and its value.

            Is there any way from which I can make X-axis as a time or date axis according to selected tabs ? X-axis labels will be dynamic as per the current date and time. So I cannot set a fixed String array and also need to map values and x-axis timings. Can anyone please help to map data and time axis?

            ...

            ANSWER

            Answered 2022-Mar-11 at 17:00

            You can draw the day times in the same way you render the months but instead of 12 values you will have 24 (one value for each time). The only difference is that the times graph has only 4 X-labels instead of 12 for months and it renders the times: 12AM, 6AM, 12PM, 6PM only and all the other time labels have empty values. Below i will describe how you can plot and map each Y-Value with its corresponding X-Label with code examples:

            1.Add the BarChart into an Activity xml layout:

            Source https://stackoverflow.com/questions/70952437

            QUESTION

            Numpy sum take longer for C-order arrays
            Asked 2022-Feb-05 at 03:48

            I get drastically different timings (8x difference) for the following np.sum values.

            ...

            ANSWER

            Answered 2022-Feb-04 at 18:05

            Indeed, the fortran array seems to be faster:

            Source https://stackoverflow.com/questions/70990635

            QUESTION

            How expensive is accessing Match.group()?
            Asked 2022-Jan-27 at 11:22

            Trying to optimize some code that reuses a matched group, I was wondering whether accessing Match.group() is expensive. I tried to dig in re.py's source, but the code was a bit cryptic.

            A few tests seem to indicate that it might be better to store the output of Match.group() in a variable, but I would like to understand what exactly happens when Match.group() is called, and if there is another internal way to maybe access the content of the group directly.

            Some example code to illustrate a potential use:

            ...

            ANSWER

            Answered 2022-Jan-27 at 11:17

            The match object holds a reference to the original string you searched in, and indexes where each group starts and ends, including group 0, the whole matched string. Every call to group() slices the original string to create a new string to return.

            Saving the return value to a variable avoids the time and memory cost of having to slice the string every time. (It also avoids repeating the method call overhead.)

            You can see that group() isn't just returning a cached string by the fact that the return value isn't always the same object:

            Source https://stackoverflow.com/questions/70877455

            QUESTION

            Slow 'Property Get' and 'Function' procedures
            Asked 2022-Jan-26 at 13:36

            BOUNTY EDIT

            Not looking for an answer - already posted and accepted one. Just trying to raise awareness with this bounty.

            Original post

            I have come across a nasty VBA bug that makes Property Get procedure calls really slow. This is most likely due to a recent Office update (I have Office365). It only affects Excel on 32 bits.

            The bug

            Consider a class called Class1 with only the code:

            ...

            ANSWER

            Answered 2022-Jan-05 at 23:10

            I tested your example in 2013-32 with an empty class v with the 100 properties, and only got a small difference in timings. I can only assume something related with your particular setup.

            However I'd say your 0.45 sec is slow even in an old system, and the reason for that is your particular use of a large Collection. Two ways to improve -

            1. Counter intuitively with large collections it's much faster to use Keys rather than Indexes to retrieve items, populating is only slightly slower with keys. Referencing col.Item(1) is fast but bigger indexes are progressively slower, seems internally the collection is looped to find the given index each time ...

            Source https://stackoverflow.com/questions/70598025

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install timings

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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