Cup | Sublime Text 3 plugin to enhance your CoffeeScript | Plugin library

by alin23 Python Version: v1.2.0 License: Non-SPDX

X-Ray Key Features Code Snippets(4)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Cup Summary

Cup is a Python library typically used in Plugin, React applications. Cup has no bugs, it has no vulnerabilities and it has low support. However Cup build file is not available and it has a Non-SPDX License. You can download it from GitHub.

A Sublime Text 3 plugin to enhance your CoffeeScript 2 experience

Support

Quality

Security

License

Reuse

Support

Cup has a low active ecosystem.

It has 7 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Cup is v1.2.0

Quality

Cup has 0 bugs and 0 code smells.

Security

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

Cup code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Cup 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

Cup releases are available to install and integrate.

Cup has no build file. You will be need to create the build yourself to build the component from source.

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

It has 1055 lines of code, 86 functions and 7 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Cup and discovered the below as its top functions. This is intended to give you an instant insight into Cup implemented functionality, and help decide if they suit your requirements.

Run the tool
Run command
Run a shell command
Returns true if the current view is a literal literal
Fix imports
Start a daemon process
Return an error message for the given executable
Prompt the user to resolve imports
Run the editor
Runs a brew process
Sorts the view
Return the import region
Sorts imports
Returns the import code of the given code
Run selection
Called when a view has been modified
Put text into the window
Runs the script
Run snippet
Stop the watcher
Run Coffeelint
Finish a task
Execute compile on save
Creates output tab
Run editor
Start the view

Get all kandi verified functions for this library.

Cup Key Features

No Key Features are available at this moment for Cup.

Cup Examples and Code Snippets

title: Group array elements tags: array,object expertise: intermediate cover: blog_images/man-cup-laptop.jpg firstSeen: 2017-12-17T17:55:51+02:00 lastUpdated: 2020-10-22T20:23:47+03:00

npm

Lines of Code : 9

License : No License

Copy

const groupBy = (arr, fn) =>
  arr
    .map(typeof fn === 'function' ? fn : val => val[fn])
    .reduce((acc, val, i) => {
      acc[val] = (acc[val] || []).concat(arr[i]);
      return acc;
    }, {});


groupBy([6.1, 4.2, 6.3], Math.floor)

title: Days ago tags: date expertise: intermediate author: maciv cover: blog_images/cup-of-orange.jpg firstSeen: 2020-10-28T16:19:30+02:00 lastUpdated: 2020-10-28T16:19:30+02:00

Python

Lines of Code : 5

License : No License

Copy

from datetime import timedelta, date

def days_ago(n):
  return date.today() - timedelta(n)


days_ago(5) # date(2020, 10, 23)

title: Number has decimal digits tags: math expertise: beginner author: chalarangelo cover: blog_images/man-cup-laptop.jpg firstSeen: 2022-05-13T05:00:00-04:00

npm

Lines of Code : 3

License : No License

Copy

const hasDecimals = num => num % 1 !== 0;


hasDecimals(1); // false
hasDecimals(1.001); // true

Convert from one to another .

python

Lines of Code : 38

License : Permissive (MIT License)

Copy

def volume_conversion(value: float, from_type: str, to_type: str) -> float:
    """
    Conversion between volume units.
    >>> volume_conversion(4, "cubicmeter", "litre")
    4000
    >>> volume_conversion(1, "litre", "gallon")

Community Discussions

Trending Discussions on Cup

Printing formatted dictionary elements into a file

Create Sub Headers in R

useState delete array element in the state containing object

How to reorder rows in pandas dataframe by factor level in python?

Create Dataframe of Number of Overlapping Elements Compared

Divide by Zero Error encountered in Snowflake Query

Boxplot two variables, color them based on mean of a third variable

how to loop through and remove the object in which array is empty

How to split comma separated strings in a column into different columns if they're not of same length using python or pandas in jupyter notebook

Count value pairings from different columns in a DataFrame with Pandas

QUESTION

Printing formatted dictionary elements into a file

Asked 2022-Mar-27 at 19:25

I have the following dictionary:

...

ANSWER

Answered 2022-Mar-27 at 19:10

file.write(str(sorted_dict)

Source https://stackoverflow.com/questions/71639451

QUESTION

Create Sub Headers in R

Asked 2022-Jan-19 at 18:17

I'd like to create a df that has a header and a subheader. Example below:

I want to take the following input:

...

ANSWER

Answered 2022-Jan-19 at 18:17

library(tidyverse)

input %>%
  pivot_longer(-Region) %>%
  na.omit() %>%
  group_by(Region, name) %>%
  mutate(id = row_number()) %>%
  pivot_wider(names_from = id, values_from = value) %>%
  data.table::transpose(make.names = TRUE)
  
  Central Central Central Pacific Pacific Pacific Eastern Eastern Eastern
1   Day_1   Day_2   Day_3   Day_2   Day_1   Day_3   Day_1   Day_2   Day_3
2    Boat    Shoe   Table    Boat   Table    Shoe    Boat    Shoe   Table
3                           Watch     Cup    
4                           Chair

Source https://stackoverflow.com/questions/70775396

QUESTION

useState delete array element in the state containing object

Asked 2022-Jan-10 at 06:01

my state orderDetail contain orderDetail json

I am getting the _id of the order which I want to delete in function eg _id: 60f1ab20891ced4818b5ea87,

now I want to remove this order from the orders array which is in orderdetail and update the state.

...

ANSWER

Answered 2022-Jan-10 at 06:01

What you need to so is set a new object with the orders array filtered as well as a new totalPrice.

For example

Source https://stackoverflow.com/questions/70648159

QUESTION

How to reorder rows in pandas dataframe by factor level in python?

Asked 2021-Nov-30 at 19:42

I've created a small dataset comparing coffee drink prices per cup size.

When I pivot my dataset the output automatically reorders the index (the 'Size' column) alphabetically.

Is there a way to assign the different sizes a numerical level (e.g. small = 0, medium = 1, large = 2) and reorder the rows this way instead?

I'm know this can be done in R using the forcats library (using fct_relevel for example), but I'm not aware of how to do this in python. I would prefer to keep the solution to using numpy and pandas.

...

ANSWER

Answered 2021-Nov-30 at 18:13

You can use a Categorical type with ordered=True:

Source https://stackoverflow.com/questions/70174054

QUESTION

Create Dataframe of Number of Overlapping Elements Compared

Asked 2021-Nov-21 at 23:37

I have a single list that looks like this

...

ANSWER

Answered 2021-Nov-21 at 21:49

Get the 'comparator' objects in a list, use %in% to return a logical vector by comparing the elements with 'main.list', convert to proportion with mean, and stack the key/value pair to a data.frame with two columns

Source https://stackoverflow.com/questions/70058776

QUESTION

Divide by Zero Error encountered in Snowflake Query

Asked 2021-Oct-13 at 18:54

I have the following snowflake query where I am getting a divide by zero error...Can you please help me here..

...

ANSWER

Answered 2021-Oct-13 at 11:23

I assume that this happens due to the /sum(iff(iscode=1,1,0)) where this presumably sometimes returns 0.

One aproach to deal with division by zero is to use NULLIF

Source https://stackoverflow.com/questions/69554482

QUESTION

Boxplot two variables, color them based on mean of a third variable

Asked 2021-Sep-28 at 08:49

I'm trying to make a boxplot where my MFR (manufacturers) are displayed on the x axis and the rating is on the y axis. However I want to color the different boxplots based on the mean shelf value. (Shelf is a value between 1 and 3)

I tried this code:

...

ANSWER

Answered 2021-Sep-28 at 08:49

Using ggplot2

Source https://stackoverflow.com/questions/69357639

QUESTION

how to loop through and remove the object in which array is empty

Asked 2021-Sep-18 at 11:44

  FilterCriterias: any = []

  public productChanged(filterValue: any) {

      if(this.FilterCriterias?.length == 0) {
        this.FilterCriterias.push({
          filtercolumnName: 'productType',
          filterValueList: [filterValue.name]
        })
      } else {
        this.FilterCriterias.forEach((elem: any, index: number) => {
          if(elem.filtercolumnName == 'productType') {
            const idx = elem.filterValueList.indexOf(filterValue.name)
            if(idx >= 0) {
                elem.filterValueList.splice(idx, 1)
                // if (elem.filterValueList?.length == 0 && elem.filtercolumnName == 'productType') {
                //   const idy = elem.filtercolumnName.indexOf('productType')
                //   if (idy > 0) {
                //     this.FilterCriterias.splice(idy, 1)
                //   }
                // }
            } else {
              elem.filterValueList.push(filterValue.name)
            }
          } else {
            this.FilterCriterias.push({
              filtercolumnName: 'productType',
              filterValueList: [filterValue.name]
            })
          }
        });
      }

      this.FilterCriterias.forEach((element: any) => {
        if(element.filterValueList.length == 0 && element.filtercolumnName == 'productType') {
          console.log(true);
          const idy = element.filtercolumnName.indexOf('productType')
          console.log(idy);
        }
      });

       // removing the duplicates
       var filtered = this.FilterCriterias.reduce((filtered: any, item: any) => {
        //  console.log(item);
        if(!filtered.some((filteredItem: any) => JSON.stringify(filteredItem.filtercolumnName) == JSON.stringify(item.filtercolumnName)))
        filtered.push(item)
        return filtered
      }, [])

    console.log('filtered',filtered);

  }

     public collectionChanged(filterValue: any) {
      
      if(this.FilterCriterias?.length == 0) {
        this.FilterCriterias.push({
          filtercolumnName: 'collections',
          filterValueList: [filterValue.name]
        })
      } else {
        this.FilterCriterias.forEach((elem: any, index: number) => {
          if(elem.filtercolumnName == 'collections') {
            const idx = elem.filterValueList.indexOf(filterValue.name)
            if(idx >= 0) {
                elem.filterValueList.splice(idx, 1)
              // if(elem.filterValueList?.length == 0) {
              //   const idy = elem.filtercolumnName.indexOf('collections')
              //   console.log('collectoinindex',idy);
              //   if(idy > 0) {
              //     this.FilterCriterias.splice(idy, 1)
              //   }
              // }
            } else {
              elem.filterValueList.push(filterValue.name)
            }
          } else {
            this.FilterCriterias.push({
              filtercolumnName: 'collections',
              filterValueList: [filterValue.name]
            })
          }
        });
      }

      this.FilterCriterias.forEach((element: any) => {
        if(element.filterValueList.length == 0  && element.filtercolumnName == 'collections') {
          console.log(true);
          const idy = element.filtercolumnName.indexOf('collections')
          console.log(idy);
        }
      });


       // removing the duplicates
       var filtered = this.FilterCriterias.reduce((filtered: any, item: any) => {
        //  console.log(item);
        if(!filtered.some((filteredItem: any) => JSON.stringify(filteredItem.filtercolumnName) == JSON.stringify(item.filtercolumnName)))
        filtered.push(item)
        return filtered
      }, [])

    console.log('filtered',filtered);
  }

...

ANSWER

Answered 2021-Sep-13 at 07:38

I am guessing this should do the job if I understood correctly what you want to do. This will loop through all objects of the array, check if their filterValueList array is empty and if so, it will remove them from the array:

Source https://stackoverflow.com/questions/69158808

QUESTION

How to split comma separated strings in a column into different columns if they're not of same length using python or pandas in jupyter notebook

Asked 2021-Sep-17 at 18:39

I am learning python and working on a sample Kaggle dataset and trying to split comma-separated values in a column into different columns using python or pandas in jupyter notebook.

For instance :

column_A

Garbage: Tissues, Organics: Milk, Recycle: Cardboards

Garbage: Paper Towels, Organics: Eggs, Recycle: Glass, Junk: Feces

Garbage: cups, Recycle: Plastic bottles

I want to split these into different columns based on commas, like below:

Garbage Organics Recycle Junk Tissues Milk Cardboards Null Paper Towels Eggs Glass Feces Cups Null Plastic bottles Null

I've tried using Lambda functions but it only worked if there is same length of comma separated strings but not for unequal length and displaying an index error "list index out of range". The code I've used is below:

...

ANSWER

Answered 2021-Sep-17 at 18:39

We can use a regular expression pattern to find all the matching key-value pairs from each row of column_A , then map the list of pairs from each row to dictionary in order to create records then construct a dataframe from these records

Source https://stackoverflow.com/questions/69227725

QUESTION

Count value pairings from different columns in a DataFrame with Pandas

Asked 2021-Jul-15 at 17:07

I have a df like this one:

...

ANSWER

Answered 2021-Jul-14 at 23:18

Try:

Source https://stackoverflow.com/questions/68385904

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

Vulnerabilities

No vulnerabilities reported

Install Cup

You can download it from GitHub.
You can use Cup like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

Find more information at: