pa | encryption via age | Generator Utils library

by biox Shell Version: Current License: Non-SPDX

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

kandi X-RAY | pa Summary

pa is a Shell library typically used in Generator, Generator Utils applications. pa has no bugs, it has no vulnerabilities and it has low support. However pa has a Non-SPDX License. You can download it from GitHub.

A simple password manager using age written in POSIX sh. Based on pash by dylanaraps.

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Quality

Security

License

Reuse

Support

pa has a low active ecosystem.

It has 402 star(s) with 11 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 12 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pa is current.

Quality

pa has 0 bugs and 0 code smells.

Security

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

pa code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pa has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pa 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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pa Key Features

No Key Features are available at this moment for pa.

pa Examples and Code Snippets

Decrypts the ciphertext using the cesar ciphertext .

python

Lines of Code : 247

License : Permissive (MIT License)

Copy

def decrypt_caesar_with_chi_squared(
    ciphertext: str,
    cipher_alphabet: list[str] | None = None,
    frequencies_dict: dict[str, float] | None = None,
    case_sensitive: bool = False,
) -> tuple[int, float, str]:
    """
    Basic Usage

Produces a Pa object .

javascript

Lines of Code : 1

License : No License

Copy

function Pa(b){return function(){return this[b]}}

pa . js

javascript

Lines of Code : 1

License : No License

Copy

function pa(){}

Community Discussions

Trending Discussions on pa

How to create a stacked bar chart in r with ggplot

Cannot group data by a column in R

How to split a large JSON file based on an array property which is deeply nested?

Efficient code for custom color formatting in tkinter python

Schema for pyarrow.ParquetDataset > partition columns

R how to speed up pattern matching using vectors

__eq__ order enforcement in Python

Haskell Parser Seperator

R: split-apply-combine for geographic distance

Concatenating variable number of rows in a group to create a single row and cast from long to wide format preferably in dplyr

QUESTION

How to create a stacked bar chart in r with ggplot

Asked 2022-Mar-06 at 19:41

My data is:

...

ANSWER

Answered 2022-Mar-05 at 05:28

You need to pivot your data to long format first (tidy format). Then, we can specify the x (sample), y (value), and fill (name) conditions.

Source https://stackoverflow.com/questions/71359655

QUESTION

Cannot group data by a column in R

Asked 2022-Feb-13 at 17:53

I want to get a count of how many times each Player's name appears in my data frame ph1. My code is showing how many times each name is in the dataset, but I cannot group it by nso I can see how many times each Player's name is in the dataset.

I would prefer a dplyr solution but am open to others.

For example:

...

ANSWER

Answered 2022-Feb-13 at 17:12

ph %>% 
  filter(!is.na(Player)) %>%
  group_by(Player) %>% count() %>%
  group_by(n) %>%
  count(name="Number_Players") 

# A tibble: 2 x 2
# Groups:   n [2]
      n Number_Players
            
1     1             21
2     2              2

Source https://stackoverflow.com/questions/71102978

QUESTION

How to split a large JSON file based on an array property which is deeply nested?

Asked 2022-Jan-12 at 10:48

I have a large json file (around 16Gb) with the following structure:

...

ANSWER

Answered 2022-Jan-07 at 21:39

This is a little ugly solution and absolutely does not pretend to be the best but it allows to split a json with a similar structure of several GB in size into smaller files containing individual array members in a line-by-line manner. It preserves original redundant indentation and finalizing commas but these can be additionally fixed if necessary.

Source https://stackoverflow.com/questions/70584260

QUESTION

Efficient code for custom color formatting in tkinter python

Asked 2022-Jan-11 at 14:31

[Editing this question completely] Thank you , for those who helped in building the Periodic Table successfully . As I completed it , I tried to link it with another of my project E-Search , which acts like Google and fetches answers , except that it will fetch me the data of the Periodic Table .

But , I got a problem - not with the searching but with the layout . I'm trying to layout the x-scrollbar in my canvas which will display results regarding the search . However , it is not properly done . Can anyone please help ?

Below here is my code :

...

ANSWER

Answered 2021-Dec-29 at 20:33

I rewrote your code with some better ways to create table. My idea was to pick out the buttons that fell onto a range of type and then loop through those buttons and change its color to those type.

Source https://stackoverflow.com/questions/70506629

QUESTION

Schema for pyarrow.ParquetDataset > partition columns

Asked 2021-Dec-11 at 20:37

I have a pandas DataFrame:

...

ANSWER

Answered 2021-Dec-11 at 12:02

I think you need give ParquetDataset a hint of the partition keys schema.

Source https://stackoverflow.com/questions/70308728

QUESTION

R how to speed up pattern matching using vectors

Asked 2021-Dec-11 at 12:50

I have a column in one dataframe with city and state names in it:

ac <- c("san francisco ca", "pittsburgh pa", "philadelphia pa", "washington dc", "new york ny", "aliquippa pa", "gainesville fl", "manhattan ks")

ac <- as.data.frame(ac)

I would like to search for the values in ac$ac in another data frame column, d$description and return the value of column id if there is a match.

...

ANSWER

Answered 2021-Dec-07 at 19:46

Try this sapply with grep.

Source https://stackoverflow.com/questions/70236614

QUESTION

__eq__ order enforcement in Python

Asked 2021-Dec-09 at 10:59

A slightly long question to sufficiently explain the background...

Assuming there's a builtin class A:

...

ANSWER

Answered 2021-Dec-09 at 08:52

I dont really like this whole thing, since I think that wrapping a builtin and using different attribute names will lead to unexpected stuff, but anyway, this will work for you

Source https://stackoverflow.com/questions/70286375

QUESTION

Haskell Parser Seperator

Asked 2021-Nov-22 at 16:43

I am using Parsec to write a parser for a logfile. Every line of that logfile follows a common structure A:B:C:D with the components A, B, C and D following simple rules. I've already written parsers for each of the components and I would like to combine them into a single parser. My current approach works, but I feel there has to be a nicer solution. One immediate drawback is that it would not scale very well for logfiles with more than 4 components.

...

ANSWER

Answered 2021-Nov-22 at 16:43

I think the best option is to introduce your own operator, e.g.:

Source https://stackoverflow.com/questions/70068680

QUESTION

R: split-apply-combine for geographic distance

Asked 2021-Nov-17 at 17:53

I have downloaded a list of all the towns and cities etc in the US from the census bureau. Here is a random sample:

...

ANSWER

Answered 2021-Nov-12 at 22:48

I have such a solution. And I'm surprised myself that I used two loops for!! Incredibly, I did it. First things first.

My proposal is based on a simplification. However, the mistake you will make at short distances will be relatively small. But the time gain is huge!

Well, I propose to count the distance in Cartesian coordinates, not spherical.

So we're going to need a simple function that computes the Cartesian coordinates based on the two arguments latitude and longitude. Here is our LatLong2Cart feature.

Source https://stackoverflow.com/questions/69915845

QUESTION

Concatenating variable number of rows in a group to create a single row and cast from long to wide format preferably in dplyr

Asked 2021-Nov-01 at 19:52

I am using R tidyverse to clean data downloaded from pubmed to get author affiliations from some articles. I have gotten this far and have data that looks like this:

...

ANSWER

Answered 2021-Nov-01 at 19:17

One option to achieve your desired result may look like so:

As your data contains multiple authors per pubmed_id I first add an identifier for the authors
After doing so we could use group_by + summarise to collapse the entries for the full author name and the address into single strings where I use a ; as the separator
Now we are ready to convert to wide format
Finally replace ; in the full author column by a ,, remove it from the adress column and rename the columns

Source https://stackoverflow.com/questions/69801350

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

Vulnerabilities

No vulnerabilities reported

Install pa

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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