rndm | random string generator

 by   crypto-utils JavaScript Version: 1.2.0 License: MIT

kandi X-RAY | rndm Summary

kandi X-RAY | rndm Summary

rndm is a JavaScript library typically used in Testing applications. rndm has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i rndm' or download it from GitHub, npm.

Random string generator. Basically Math.random().toString(36).slice(2), but with both upper and lower case letters and arbitrary lengths. Useful for creating fast, not cryptographically secure salts.
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              rndm has a low active ecosystem.
              It has 27 star(s) with 1 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rndm is 1.2.0

            kandi-Quality Quality

              rndm has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rndm 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

              rndm releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            rndm Key Features

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            rndm Examples and Code Snippets

            No Code Snippets are available at this moment for rndm.

            Community Discussions

            QUESTION

            How to show progress while populating dataGridView?
            Asked 2021-May-08 at 22:07

            I'm populating datagridview with random numbers from a given range, but when I generate a big amount of numbers - my program hangs while generating them. That could last more that a minute (depending on the amount). I know that I can show a progress using ProgressBar. I've tried to use it, but I haven't got anythin. Any examples of using it?

            Here is my code:

            ...

            ANSWER

            Answered 2021-May-08 at 22:07

            Your program "hangs" while adding data to the UI because you are doing all the work in the UI thread effectively blocking the thread until your loop is done. So you need to handle this heavy duty work in a seperate thread. But you can only change the UI from the UI/main thread so something like this would throw an exception:

            Source https://stackoverflow.com/questions/67450288

            QUESTION

            If i unequip a gun while it's shooting (in burst and auto) it stops working -ROBLOX STUDIO
            Asked 2021-Jan-07 at 07:23

            Pls find a way to fix it :/ I'm not really good at scripting stuff.
            There is another script: Server script. But i don't think it's the cause of this problem.
            I will post it anyways

            Btw it's for a shooter game that I'm making (just to add some workds soo i can post it)

            When it breaks it send's out this:

            ...

            ANSWER

            Answered 2021-Jan-07 at 07:23

            The error message says:

            Humanoid is not a valid member of Backpack

            Script 'Players.xxfilippoxx33.Backpack.Assualt Rifle.Gun_Script', Line 178 - function fire

            Source https://stackoverflow.com/questions/65601551

            QUESTION

            Making ImageButton clicks counted does not play sounds anymore
            Asked 2020-Sep-17 at 08:54

            I'm new in android. I've implemented code to play random sounds when clicking an ImageButton, first problem is that it does not play random sounds all the time when button is clicked - it choose one sound and plays only this one, when I press the button next time it plays same sound as the first time when button is clicked - I would make this random every time when button is clicked. Also when I added function which counts how many times this button is clicked, app stopped to play sounds anymore, it only shows how many times my button was clicked, but there is no more audio. Here is my code:

            ...

            ANSWER

            Answered 2020-Sep-17 at 08:54

            You can't set 2 setOnClickListeners on same View .

            Source https://stackoverflow.com/questions/63934358

            QUESTION

            lstm pytorch RuntimeError: Expected hidden[0] size (1, 1, 256), got (1, 611, 256)
            Asked 2020-Jul-26 at 08:54

            I am trying to do batch processing with nn.lstm

            From the documentation https://pytorch.org/docs/master/generated/torch.nn.LSTM.html I get that h0 and c0 should be of dimension:(num_layers * num_directions, batch, hidden_size).

            But when I am trying to give input tensor with batch size>1 and h0 , c0 batch size>1. It is giving me error stating: "RuntimeError: Expected hidden[0] size (1, 1, 256), got (1, 611, 256)"

            Here is my code: it contains 1 memory buffer, Actor, Critic, TD3, ENV classes and main training is in TD3 which has actor and critic objects.

            Can someone please help a check what am i missing here.

            ...

            ANSWER

            Answered 2020-Jul-26 at 08:54

            Did you make the input dimensions as required in nn.LSTM as well? I saw that you haven't set batch_first = True, and hence the input tensor has to be in the form

            • (seq_len, batch, input_size)

            Source https://stackoverflow.com/questions/63097995

            QUESTION

            pytoch RuntimeError: Dimension out of range (expected to be in range of [-1, 0], but got 1
            Asked 2020-Jul-24 at 12:59

            I am trying to train a Actor Critic Model with LSTM in both actor and critic. I am new to all this and can not understand why "RuntimeError: Dimension out of range (expected to be in range of [-1, 0], but got 1)" is comming.

            I am forwardPropagating from actor and getting error

            below is my code and error message.I am using pytorch version 0.4.1

            Can someone please help to check what is wrong with this code.

            ...

            ANSWER

            Answered 2020-Jul-24 at 12:59

            QUESTION

            lstm:Input batch size 100 doesn't match hidden[0] batch size 1
            Asked 2020-Jul-24 at 08:16

            I am trying to add an lstm layer to my previous working AI model. On adding the model I am getting this error when training the batch to my AI.

            earlier without the LSTM the error was not there and it worked fine.

            Input batch size 100 doesn't match hidden[0] batch size 1.

            I am using nn.LSTMCell

            can anyone please help a check if I am missing some parameter to init my lstmcell so it can take batch inputs as well.

            below is my code...

            ...

            ANSWER

            Answered 2020-Jul-24 at 08:16

            If you initialize your cell state and hidden state with zeros, there is no need to provide initialization at all, it will be provided for you (as a default, please see docs). However, should you decide to do it on your own, you should always take into account batch size (which might be different every iteration).

            In the end, both cell and hidden state for nn.LSTMCell have shape (batch_size, hidden_size) whereas you initialize those once in the constructor with shape (1, hidden_size). You have to move initialization to forward() and with each call get batch size from x which should be just x.shape[0]

            As a side note, you are using nn.LSTMCell which is just a single cell computation. Used once does not really make sense, make sure that's what works for you. Maybe just nn.LSTM instead?

            Source https://stackoverflow.com/questions/63063218

            QUESTION

            LeetCode 380: Insert Delete GetRandom O(1)
            Asked 2020-Jul-07 at 01:11

            I came across this leetcode problem Insert Delete GetRandom where it is asked to implement a Data Structure to support Insert, Delete and getRandom in average O(1) time, and solved it as using map and a vector. My solution passes all the test cases except for the last one and I'm not able to figure out why? The last test case is really very large to debug.

            I changed my code a little bit and then it passes but still didn't got why the previous one didn't pass.

            Non-Accepted Solution:

            ...

            ANSWER

            Answered 2020-Jun-14 at 23:49

            This is because of undefined behavior when the element removed is the last element.

            e.g, say the operations are

            Source https://stackoverflow.com/questions/62356815

            QUESTION

            Append function in numpy array
            Asked 2020-Jun-04 at 14:02

            I need help for my project. I have an array that look like this?

            ...

            ANSWER

            Answered 2020-Jun-04 at 13:16

            You can use .append to add an array to the end of another array. The problem here is that numpy.append flattens the array first, ie. numpy.append([1 0], [0 1]) is [1 0 0 1]. See the numpy docs on .append.

            Source https://stackoverflow.com/questions/62195499

            QUESTION

            Nested array computations in Python using numpy
            Asked 2020-Jun-01 at 12:11

            I am trying to use numpy in Python in solving my project.

            I have a random binary array rndm = [1, 0, 1, 1] and a resource_arr = [[2, 3], 4, 2, [1, 2]]. What I am trying to do is to multiply the array element wise, then get their sum. As an expected output for the sample above, output = 5 0 2 3. I find hard to solve such problem because of the nested array/list.

            So far my code looks like this:

            ...

            ANSWER

            Answered 2020-Jun-01 at 11:23

            I have not worked much with pandas/numpy so I'm not sure if this is most efficient way, but it works (atleast for the example you have shown):

            Source https://stackoverflow.com/questions/62130799

            QUESTION

            Disabling a button without using button.Enabled = False while only using ONE Click Event
            Asked 2020-May-20 at 11:07

            So I'm designing a game in which you have to choose the larger number between two numbers in order to win the prize. There are five buttons (each has a random number given in it) and a button to reset

            For the first time, Button4 (The 2nd from right)and Button 5(the right one) The number in Button5 will be shown and the number in Button4 will be hidden Like this: 1st round

            If you guess it right, you will win the number you guess right

            If you guess it wrong, the game is over and you will only win the amount number you guessed right in the previous round

            For example (1st round: Button4 & Button5(8) +++ You choose Button5(8), it's correct, now you win 48 dollars 1st round

            2nd round: Button3 & Button4(Shown, it turns out that it's 4) +++ You choose Button4 The game is over because the number in Button3 is 7, which is larger than 4 You only win 48 dollars (from the previous round) Like this: 2nd round

            Note: Button1-Button3 are disabled before the program starts

            QUESTION

            What I wanna ask is: After the game is over, how do you make the button3 & button4 not be able to click again?? So, the only way to play the game is to click the button reset I know there's a method like this:

            ...

            ANSWER

            Answered 2020-May-20 at 11:07

            A work-around could be to check if the game is over when you click any of the buttons. So, handle the event, but in case the condition for the game over is True, just return and do nothing.

            Use a global variable isGameOver for this that saves the current status of the game (false when it starts). You set it to true when game is over and you show that message. That's what you can use to validate later if the action of the buttons should be done or not.

            Something like this:

            Source https://stackoverflow.com/questions/61910622

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

            Vulnerabilities

            No vulnerabilities reported

            Install rndm

            You can install using 'npm i rndm' or download it from GitHub, npm.

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