approx | Approximate floating point equality comparisons | Math library

by brendanzab Rust Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | approx Summary

approx is a Rust library typically used in Utilities, Math applications. approx has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Approximate floating point equality comparisons and assertions for the Rust Programming Language.

Support

Quality

Security

License

Reuse

Support

approx has a low active ecosystem.

It has 113 star(s) with 28 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 19 have been closed. On average issues are closed in 142 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of approx is current.

Quality

approx has no bugs reported.

Security

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

License

approx is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

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approx Key Features

No Key Features are available at this moment for approx.

approx Examples and Code Snippets

Checks if two values are approx equal .

java

Lines of Code : 7

License : No License

Copy

public static boolean isApproxEqual(double d1, double d2) {
		double epsilon = .001;	
		if (Math.abs(d1 - d2) < epsilon) {
			return true;
		}
		return false;
	}

Community Discussions

Trending Discussions on approx

MimeKit Remove gif images from Emails

In R Shiny, why do my functions not work when using the render UI function but work fine when not using render UI?

interpolation of a vector by another vector

BeautifulSoup 4: AttributeError: NoneType has no attribute find_next

Segmentation fault using np.cov while serving a flask app via waitress

R Extract nested cumulatives from dataframe

How to add interpolated NA values in a dataset

Sparse columns in pandas: directly access the indices of non-null values

How to find which posts have the highest comments and which posts have the fewest comments?

python regex, only return 1st numerical match

QUESTION

MimeKit Remove gif images from Emails

Asked 2021-Jun-15 at 01:50

I'm trying to strip gif images from emails in order to save storage space in Outlook and our document management system.

Say for example you've got an email approx 2MB's in size and the gif is 1MB. I'm expecting the result of the file size of the email to be 1MB.

The first part uses MimeKit to remove the gif. The problem I find with this code is that if you are not debugging it doesn't reduce the file size by what I'd expect. I've found this is because the image is still in the html properties of the MimeMessage.

...

ANSWER

Answered 2021-Jun-15 at 01:50

You have 2 questions that I'll answer separately.

Why doesn't the size of the message shrink after I remove the gif attachments?

MIME can contain nested multiparts and in your case, it likely does because HTML mail with images are often within a multipart/related which is often within a multipart/alternative, like this:

Source https://stackoverflow.com/questions/67930197

QUESTION

In R Shiny, why do my functions not work when using the render UI function but work fine when not using render UI?

Asked 2021-Jun-14 at 22:51

When running the first "almost MWE" code immediately below, which uses conditional panels and a "renderUI" function in the server section, it only runs correctly when I comment out the 3rd line from the bottom, observeEvent(vector.final(periods(),yield_input()),{yield_vector.R <<- unique(vector.final(periods(),yield_input()))}). If I run the code with this line activated, it crashes and I get the error message Error in [: subscript out of bounds which per my research means it is trying to access an array out of its boundary.

...

ANSWER

Answered 2021-Jun-14 at 22:51

Replace the line you commented out with this

Source https://stackoverflow.com/questions/67975316

QUESTION

interpolation of a vector by another vector

Asked 2021-Jun-14 at 13:31

I have a vector "x" I can interpolate it on "n" points, let's say 20

...

ANSWER

Answered 2021-Jun-12 at 22:23

There are two ways to interpret your question. In your example, the vector x should be y since only provided one vector:

Source https://stackoverflow.com/questions/67951192

QUESTION

BeautifulSoup 4: AttributeError: NoneType has no attribute find_next

Asked 2021-Jun-14 at 12:02

The project: for a list of meta-data of wordpress-plugins: - approx 50 plugins are of interest! but the challenge is: i want to fetch meta-data of all the existing plugins. What i subsequently want to filter out after the fetch is - those plugins that have the newest timestamp - that are updated (most) recently. It is all aobut acutality... so the base-url to start is this:

...

ANSWER

Answered 2021-Jun-09 at 20:19

The page is rather well organized so scraping it should be pretty straight forward. All you need to do is get the plugin card and then simply extract the necessary parts.

Here's my take on it.

Source https://stackoverflow.com/questions/67872553

QUESTION

Segmentation fault using np.cov while serving a flask app via waitress

Asked 2021-Jun-14 at 09:34

I wanted to perform a simple calculation of the covariance within a more complex flask app. Below I created a minimal random example without flask (which is actually working) of the calculation causing the problems (in the flask/waitress setup).

...

ANSWER

Answered 2021-Jun-14 at 09:34

Updating all packages solved the issue

Source https://stackoverflow.com/questions/67940287

QUESTION

R Extract nested cumulatives from dataframe

Asked 2021-Jun-13 at 02:35

given a dataframe

...

ANSWER

Answered 2021-Jun-13 at 02:32

You can use complete to create the missing sequence of period and item and for each combination sum the quantity value.

Source https://stackoverflow.com/questions/67954323

QUESTION

How to add interpolated NA values in a dataset

Asked 2021-Jun-12 at 14:12

I have this dataframe (57 rows, 9 cols) called "newData" and I'm trying to replace the NA values with the interpolated approximations and plot the graph. I've tried using functions such as na.approx and interp1 but I haven't managed to do it. Any solutions on how I can tackle this?

years city SO2 NO2 O3 PM10 PM2.5 CO Benzen 2012 Tirane 6.30 23.83 55.79 35.44 19.24 0.43 3.95 2013 Tirane NA 27.30 51.03 32.56 16.45 NA NA 2014 Tirane 15.52 35.01 32.64 54.06 NA 0.85 2.76 ...

ANSWER

Answered 2021-Jun-12 at 14:12

You can use zoo::na.approx -

Source https://stackoverflow.com/questions/67949471

QUESTION

Sparse columns in pandas: directly access the indices of non-null values

Asked 2021-Jun-12 at 12:53

I have a large dataframe (approx. 10^8 rows) with some sparse columns. I would like to be able to quickly access the non-null values in a given column, i.e. the values that are actually saved in the array. I figured that this could be achieved by df.[]. However, I can't see how to access directly, i.e. without any computation. When I try df..index it tells me that it's a RangeIndex, which doesn't help. I can even see when I run df..values, but looking through dir(df..values) I still cant't see a way to access them.

To make clear what I mean, here is a toy example:

In this example is [0,1,3].

EDIT: The answer below by @Piotr Żak is a viable solution, but it requires computation. Is there a way to access directly via an attribute of the column or array?

...

ANSWER

Answered 2021-Jun-12 at 12:36

import pandas as pd
import numpy as np

df = pd.DataFrame(np.array([[1], [np.nan], [4], [np.nan], [9]]),
                   columns=['a'])

Source https://stackoverflow.com/questions/67948849

QUESTION

How to find which posts have the highest comments and which posts have the fewest comments?

Asked 2021-Jun-11 at 11:38

I am very new to postgreSQl and SQL and databases, I hope you guys can help me with this, i want to know which posts have the most amount of comments and which have the least amount of comments and the users need to be specified too.

...

ANSWER

Answered 2021-Jun-11 at 11:38

Good effort in pasting the whole dataset creation procedure, is what it needs to be included in order to make the example reproducible.

Let's start first with, how to join several tables: you have your posts table which contains the user_id and we can use it to join with users with the following.

Source https://stackoverflow.com/questions/67936061

QUESTION

python regex, only return 1st numerical match

Asked 2021-Jun-11 at 06:13

im using Python regex. i have a situation that the text doesnt always return the same text in order to run my regex on. the text can come in 4 different options. i just need to return numerical value including any decimals

if it is the 1st 2 options it straight forward. if its the 3rd/4th option, it matches both. i only need to return the 1st occurrence, regardless if it has a decimal or not, just the first. i have this regex, but it matches both occurrences, i only need 1st occurrence.

what can i add to this regex in order to return the first occurrence (or whats better regex for my issue)

My regex is [approx. |Current ] distance(\d+\.?\d+) miles

...

ANSWER

Answered 2021-Jun-11 at 06:13

Solution

There is a re.finditer(pattern, string, flags=0) in python which:

Source https://stackoverflow.com/questions/67930932

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

Vulnerabilities

No vulnerabilities reported

Install approx

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

Support

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