flatt | JavaScript util for flatten and unflatten object | Runtime Evironment library

by xv1t JavaScript Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | flatt Summary

flatt is a JavaScript library typically used in Server, Runtime Evironment, Nodejs, NPM applications. flatt has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Flatt - JavaScript util for flatten and unflatten object with properties Support any level of depth.

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Quality

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Support

flatt has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of flatt is current.

Quality

flatt has no bugs reported.

Security

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

License

flatt does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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flatt Key Features

No Key Features are available at this moment for flatt.

flatt Examples and Code Snippets

Flatt gradient .

python

Lines of Code : 3

License : Non-SPDX (Apache License 2.0)

Copy

def _FloorDivGrad(_, unused_grad):
  """The gradient for the FloorDiv operator."""
  return None, None

Community Discussions

Trending Discussions on flatt

Plotting a line at open levels until they are hit

How to execute a function and save in a new csv file?

Use "Flatten" or "Reshape" to get 1D output of unknown input shape in keras

Common Lisp equivalent to Racket's "module languages"

How can I use numpy.mean() on ndarray with a condition?

QUESTION

Plotting a line at open levels until they are hit

Asked 2020-Mar-30 at 18:28

I want a script that plots a line at the levels flatbottom or flat top until they are breached, at which point I want the line to delete itself. Getting a bit stuck here...

The two plotshapes show examples where the purple line should delete itself..

I think I need to use xloc bar index somehow but Im not sure how

...

ANSWER

Answered 2020-Mar-30 at 01:34

Here we keep track of bottom and top lines separately, and remember the line id when they are created so we can delete them if needed. This will only delete lines where your X plotted:

Source https://stackoverflow.com/questions/60910178

QUESTION

How to execute a function and save in a new csv file?

Asked 2019-Jan-25 at 03:33

This program converts coordinates. What I am trying to do is to

use a csv file as input
use the function to convert the coordinates
save the output as a new csv file.

My file (worksheet.csv) has three columns, latitude, longitude and height.

How would I approach this?

...

ANSWER

Answered 2019-Jan-25 at 03:06

You've very close, but there are several things that need to be changed. Here's what I think is a full solution, but below I'll work through each part of the code

Source https://stackoverflow.com/questions/54358147

QUESTION

Use "Flatten" or "Reshape" to get 1D output of unknown input shape in keras

Asked 2017-Nov-28 at 17:04

I want to use the keras layer Flatten() or Reshape((-1,)) at the end of my model to output an 1D vector like [0,0,1,0,0, ... ,0,0,1,0].

Sadly there is an problem because of my unknown input shape which is:
input_shape=(4, None, 1))).

So typically the input shape is something between [batch_size, 4, 64, 1] and [batch_size, 4, 256, 1] the output should be batch_size x unknown dimension (for the fist example above: [batch_size, 64] and for the secound [batch_size, 256]).

My model looks like:

...

ANSWER

Answered 2017-Nov-28 at 17:04

You can try K.batch_flatten() wrapped in a Lambda layer. The output shape of K.batch_flatten() is dynamically determined at runtime.

Source https://stackoverflow.com/questions/47532162

QUESTION

Common Lisp equivalent to Racket's "module languages"

Asked 2017-Mar-20 at 23:22

I would like to create a DSL (domain-specific language) with a set of Common Lisp macros, and restrict parsing of the files written in the DSL. I have no need to define a special syntax, only to limit the expressivity of the DSL so that you can't load a file containing arbitrary commands.

In Racket, this functionality is provided by so-called "module languages", using forms like except-out or all-from-out to define which language bindings are available from within the DSL, see https://docs.racket-lang.org/guide/module-languages.html

You can also perform static checks on the DSL files, to check that they follow your specifications. This is explained in this article by Matthew Flatt: http://queue.acm.org/detail.cfm?id=2068896 (in the sections about "Module Languages" and "Static Checks")

Is there an easy way to obtain a similar functionality in Common Lisp?

...

ANSWER

Answered 2017-Mar-20 at 23:22

It's called packages. You create a package and define what to import and export.

Source https://stackoverflow.com/questions/42914832

QUESTION

How can I use numpy.mean() on ndarray with a condition?

Asked 2017-Feb-14 at 12:13

Is there a way to filter values of an ndarray and at the same time take the mean with regards to a certain axis? Here is MWE:

...

ANSWER

Answered 2017-Feb-14 at 11:54

One approach would be to use the mask of valid ones set by the comparison against the given threshold, get the sum of elements along axis=0 and divide those by the number of valid ones participating in the summations to get the desired output of average values from the valid ones.

Thus, the implementation would be something like this -

Source https://stackoverflow.com/questions/42225175

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

Vulnerabilities

No vulnerabilities reported

Install flatt

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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