Random | Assorted scripts and one off things

by leechristensen PowerShell Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Random Summary

Random is a PowerShell library typically used in Programming Style applications. Random has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Assorted scripts and one off things.

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Support

Random has a low active ecosystem.

It has 243 star(s) with 69 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

Random has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Random is current.

Quality

Random has no bugs reported.

Security

Random has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Random is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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Random Key Features

No Key Features are available at this moment for Random.

Random Examples and Code Snippets

Set random seed .

python

Lines of Code : 148

License : Non-SPDX (Apache License 2.0)

Copy

def set_seed(seed):
  """Sets the global random seed.

  Operations that rely on a random seed actually derive it from two seeds:
  the global and operation-level seeds. This sets the global seed.

  Its interactions with operation-level seeds is as

Set random seed .

python

Lines of Code : 111

License : Non-SPDX (Apache License 2.0)

Copy

def set_random_seed(seed):
  """Sets the graph-level random seed for the default graph.

  Operations that rely on a random seed actually derive it from two seeds:
  the graph-level and operation-level seeds. This sets the graph-level seed.

  Its in

Generate a random normal distribution .

python

Lines of Code : 66

License : Non-SPDX (Apache License 2.0)

Copy

def stateless_parameterized_truncated_normal(shape,
                                             seed,
                                             means=0.0,
                                             stddevs=1.0,

Community Discussions

Trending Discussions on Random

How can I return the data from AxiosResponse?

attribute error and key error in the join operation of string

How to create an object of model A out of 2 random objects of model B in Django?

drop a level two column from multi index dataframe

What is the Sobel operator?

cyclic definitions error during IntelliJ worksheet

Coloring faces of a Three.js BoxGeometry

Swift 5.5 async let - error: expression is 'async' but is not marked with 'await'

problem in otp validation during login in django rest

Model.evaluate returns 0 loss when using custom model

QUESTION

How can I return the data from AxiosResponse?

Asked 2021-Jun-15 at 22:23

I am new to NestJS and I am trying to use the HttpModule which incorporates axios. The problem I have is that I don't know how to return the data from the response. I am getting some Subscription object. For now I could only make it console.log like this:

...

ANSWER

Answered 2021-Jun-15 at 22:04

I solve it using it like this:

Source https://stackoverflow.com/questions/67993728

QUESTION

attribute error and key error in the join operation of string

Asked 2021-Jun-15 at 21:50

There is a function given as follows

...

ANSWER

Answered 2021-Jun-15 at 21:34

Your code doesn’t attempt to not fail if w isn’t a key in id2word, so it shouldn’t be too much of a surprise when it does fail. You could try changing

Source https://stackoverflow.com/questions/67993679

QUESTION

How to create an object of model A out of 2 random objects of model B in Django?

Asked 2021-Jun-15 at 21:48

I'm trying to create an app that meets two random users in Django. my question is how to create an object Meeting out of 2 random users from my User model, I want something like a for loop so that every 2 users in my database have a meeting!

ps: I have only one day left to submit my work I will be so thankful if u help me

this is my code so far:

...

ANSWER

Answered 2021-Jun-15 at 21:48

I can't decipher what you're doing there, but:

Source https://stackoverflow.com/questions/67993189

QUESTION

drop a level two column from multi index dataframe

Asked 2021-Jun-15 at 20:39

Consider this dataframe:

...

ANSWER

Answered 2021-Jun-15 at 20:30

Try:

Source https://stackoverflow.com/questions/67993054

QUESTION

What is the Sobel operator?

Asked 2021-Jun-15 at 18:13

I tried 5 different implementations of the Sobel operator in Python, one of which I implemented myself, and the results are radically different.

My questions is similar to this one, but there are still differences I don't understand with the other implementations.

Is there any agreed on definition of the Sobel operator, and is it always synonymous to "image gradient"?

Even the definition of the Sobel kernel is different from source to source, according to Wikipedia it is [[1, 0, -1],[2, 0, -2],[1, 0, -1]], but according to other sources it is [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]].

Here is my code where I tried the different techniques:

...

ANSWER

Answered 2021-Jun-15 at 14:22

according to wikipedia it's [[1, 0, -1],[2, 0, -2],[1, 0, 1]] but according to other sources it's [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]]

Both are used for detecting vertical edges. Difference here is how these kernels mark "left" and "right" edges.

For simplicity sake lets consider 1D example, and let array be

[0, 0, 255, 255, 255]

then if we calculate using padding then

kernel [2, 0, -2] gives [0, -510, -510, 0, 0]
kernel [-2, 0, 2] gives [0, 510, 510, 0, 0]

As you can see abrupt increase in value was marked with negative values by first kernel and positive values by second. Note that is is relevant only if you need to discriminate left vs right edges, when you want just to find vertical edges, you might use any of these 2 aboves and then get absolute value.

Source https://stackoverflow.com/questions/67987368

QUESTION

cyclic definitions error during IntelliJ worksheet

Asked 2021-Jun-15 at 18:10

I have updated IntelliJ Idea Ultimate and scala plugin, it's working ok so far with sbt to build some projects.

Using a scala worksheet in REPL Interactive mode, I put in some code from a course lecture,

...

ANSWER

Answered 2021-Jun-15 at 18:10

Put everything in an object.

This way the 2 defs that depends on each other will be available at the same time.

IntelliJ worksheets do not like such definitions as they are "evaluated" one by one. You cannot define 2 depending on one the other at the top-level, they need to be encapsulated.

Source https://stackoverflow.com/questions/67985783

QUESTION

Coloring faces of a Three.js BoxGeometry

Asked 2021-Jun-15 at 17:54

I saw some solutions that accessed the THREE.BoxGeometry faces like that:

...

ANSWER

Answered 2021-Jun-15 at 17:54

Try it like so:

Source https://stackoverflow.com/questions/67989801

QUESTION

Swift 5.5 async let - error: expression is 'async' but is not marked with 'await'

Asked 2021-Jun-15 at 17:30

WWDC21 introduces Swift 5.5, with async/await. Following the Explore structured concurrency in Swift and Meet async/await in Swift WWDC21 sessions, I'm trying to use the async let function.

Here's my Playground code:

...

ANSWER

Answered 2021-Jun-11 at 00:14

My advice would be: don't try this in a playground. Playgrounds aren't ready for this stuff yet. Your code compiles and runs fine in a real project. Here's an example:

Source https://stackoverflow.com/questions/67927688

QUESTION

problem in otp validation during login in django rest

Asked 2021-Jun-15 at 17:03

I am trying to send otp and then validate otp for login. I am able to send otp but it is not validating for some reason.

the code for sending otp is below and it is working fine-

...

ANSWER

Answered 2021-Jun-15 at 16:41

I don't see where old.otp is being set in the SendOTP class, that's probably why it's None. Should be something like this:

Source https://stackoverflow.com/questions/67988642

QUESTION

Model.evaluate returns 0 loss when using custom model

Asked 2021-Jun-15 at 15:52

I am trying to use my own train step in with Keras by creating a class that inherits from Model. It seems that the training works correctly but the evaluate function always returns 0 on the loss even if I send to it the train data, which have a big loss value during the training. I can't share my code but was able to reproduce using the example form the Keras api in https://keras.io/guides/customizing_what_happens_in_fit/ I changed the Dense layer to have 2 units instead of one, and made its activation to sigmoid.

The code:

...

ANSWER

Answered 2021-Jun-12 at 17:27

As you manually use the loss and metrics function in the train_step (not in the .compile) for the training set, you should also do the same for the validation set or by defining the test_step in the custom model in order to get the loss score and metrics score. Add the following function to your custom model.

Source https://stackoverflow.com/questions/67951244

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

Vulnerabilities

No vulnerabilities reported

Install Random

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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