cola | A high-level distributed crawling framework | Architecture library

by qinxuye Python Version: 0.1.0beta License: Non-SPDX

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

kandi X-RAY | cola Summary

cola is a Python library typically used in Architecture applications. cola has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However cola has a Non-SPDX License. You can download it from GitHub.

A high-level distributed crawling framework.

Support

Quality

Security

License

Reuse

Support

cola has a medium active ecosystem.

It has 1468 star(s) with 548 fork(s). There are 167 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 52 have been closed. On average issues are closed in 126 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cola is 0.1.0beta

Quality

cola has 0 bugs and 0 code smells.

Security

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

cola code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cola 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

cola releases are available to install and integrate.

Build file is available. You can build the component from source.

cola saves you 3123 person hours of effort in developing the same functionality from scratch.

It has 6722 lines of code, 615 functions and 86 files.

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

Top functions reviewed by kandi - BETA

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

Run the scheduler
Merge another counter
Sync counters
Parse command line arguments
Parses a website
Opens the given URL using the given URL
Return a MicroBlog instance for the given mid and keyword
Waits until the given selector is found
Put the given objects to the database
Add a proxy
Get one or many records
Handle events from the server
List running jobs
Adds arguments to the given parser
Add the arguments to the parser
Require a new instance
Run the worker
Generate a circle
Run a single job
Prepare a worker for processing
Parse the given url
Convert midpoint to base64 url
Convert a URL to the mid number
Put start of jobs
Pack the error file for a given job
Replace templates

Get all kandi verified functions for this library.

cola Key Features

No Key Features are available at this moment for cola.

cola Examples and Code Snippets

CoLA Baselines,Cite

Python

Lines of Code : 9

License : No License

Copy

@article{warstadt2019neural,
  title={Neural network acceptability judgments},
  author={Warstadt, Alex and Singh, Amanpreet and Bowman, Samuel R},
  journal={Transactions of the Association for Computational Linguistics},
  volume={7},
  pages={625-

cola: A General Framework for Consensus Partitioning ,Consensus Partitioning,Usage

Lines of Code : 7

License : Non-SPDX (NOASSERTION)

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mat = adjust_matrix(mat) # optional
rl = run_all_consensus_partition_methods(
    mat, 
    top_value_method = c("SD", "MAD", ...),
    partition_method = c("hclust", "kmeans", ...),
    cores = ...)
cola_report(rl, output_dir = ...)

cola: A General Framework for Consensus Partitioning ,Install

Lines of Code : 5

License : Non-SPDX (NOASSERTION)

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if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("cola")

library(devtools)
install_github("jokergoo/cola")

Experimental test .

python

Lines of Code : 16

License : Permissive (MIT License)

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def test_greedy():
    """
    >>> food = ["Burger", "Pizza", "Coca Cola", "Rice",
    ...         "Sambhar", "Chicken", "Fries", "Milk"]
    >>> value = [80, 100, 60, 70, 50, 110, 90, 60]
    >>> weight = [40, 60, 40, 70,

Community Discussions

Trending Discussions on cola

R, find average length of consecutive time-steps in data.frame

Printing formatted dictionary elements into a file

Properly using reprex package when generating examples that load libraries

How to transform list to other format in python

How to inherit from an abstract class properly in C++?

Python Pandas dataframes merge update

Aggregation function with condition in partition clause

How to fill in missing rows by extending last available row?

While merging 100+ CSV files, how to fill nan in a column if it doesn't exist in "usecol"?

Remove numbers from strings that appears last

QUESTION

R, find average length of consecutive time-steps in data.frame

Asked 2022-Mar-29 at 12:14

I have the following data.frame with time column sorted in ascending order:

...

ANSWER

Answered 2022-Mar-29 at 11:44

You can group clusters of consecutive observations like this:

Source https://stackoverflow.com/questions/71661341

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

Properly using reprex package when generating examples that load libraries

Asked 2022-Mar-23 at 12:31

I would like to use a reprex package when generating an answer/question¹ that utilises multiple packages. Say I want to provide the following answer

...

ANSWER

Answered 2022-Mar-23 at 12:09

You don't need to run suppressPackageStartupMessages more than once. You can do

Source https://stackoverflow.com/questions/71586579

QUESTION

How to transform list to other format in python

Asked 2022-Mar-16 at 14:43

I get data in this format..

...

ANSWER

Answered 2022-Mar-16 at 14:27

You can use itertools.chain:

Source https://stackoverflow.com/questions/71498567

QUESTION

How to inherit from an abstract class properly in C++?

Asked 2022-Feb-16 at 12:08

I couldn't find a proper topic for this question as I haven't got a proper error message.

I'm trying to create a management system for a restaurant which mainly provides pizza as well as other foods(pasta, wings, etc). I want this system to be used by the staff. I have created an abstract class named Foods that can be used to inherit by other foods. So far I have created a class that inherits from Foods named Pizza. Below are my code.

PS: I have used namespaces for organize foods and staff members separately. As far as I know some people doesn't recommend namespace and my apologies if you're one of them.

interfaces.h

...

ANSWER

Answered 2022-Feb-16 at 10:51

You need to implement the static member variables sauces and drinks in functions.cpp and not in interfaces.h.

functions.cpp

Source https://stackoverflow.com/questions/71140123

QUESTION

Python Pandas dataframes merge update

Asked 2022-Feb-03 at 04:18

My problem is kind of a bit tricky (similar to sql merge/update), and not understanding how to fix: ( I am giving a small sample of the dataframes below)

I have two dataframes :

...

ANSWER

Answered 2022-Feb-03 at 04:18

You can use combine_first using A/B as temporary index:

Source https://stackoverflow.com/questions/70965708

QUESTION

Aggregation function with condition in partition clause

Asked 2022-Jan-31 at 07:39

Suppose I had this following table in SQL Server:

colA colB colC a1 1 -1 a1 2 -1 a1 3 12 a1 4 2 a1 5 -45

I want to calculate the cumulative sum for col C only in the case of positive result else 0

...

ANSWER

Answered 2022-Jan-31 at 07:39

You can go for a derived table and apply CASE expression as given below:

Source https://stackoverflow.com/questions/70919204

QUESTION

How to fill in missing rows by extending last available row?

Asked 2022-Jan-21 at 10:18

I have a database where each row has both a calendar month ("Period_1") and number of months elapsed since element inception ("Period_2") designation.

For analytical purposes, the data is parsed using both Period_1 and Period_2 groupings (using Shiny, which has been removed from the below example for simplicity).

The problem is when grouping by months elapsed since element inception (Period_2), there are fewer rows when the underlying element was originated closer to the Period_1 terminal period (2020-04 in this example). For example, in the below data frame "data" you can see how two elements are originated through 2020-04, but the first element is originated two months later than the second element (calendar-wise) and therefore there are only two months elapsed (or two "Period_2's") for that first element versus four periods elapsed for the second element.

Data frame and code that generates it:

...

ANSWER

Answered 2022-Jan-21 at 09:57

I will give you a simple pure tidyverse solution. First, you have to expand grid by combinations of the variables, you can use expand() or complete() to make implicit missing values explicitly missing. Then you want to do LOCF (last observation carried forward), this can be achieved either by the fill argument inside complete() or by using fill() function. All there functions are inside the tidyr package.

Source https://stackoverflow.com/questions/70799095

QUESTION

While merging 100+ CSV files, how to fill nan in a column if it doesn't exist in "usecol"?

Asked 2022-Jan-20 at 14:31

Considering that I have CSV files which looks roughly like this

...

ANSWER

Answered 2022-Jan-20 at 13:22

Changed your example columns list to have multiple missing columns. But without changing columns in the solution using an augmented example file.

Source https://stackoverflow.com/questions/70786354

QUESTION

Remove numbers from strings that appears last

Asked 2022-Jan-10 at 09:02

Is there a way to remove numbers from the string at appears only at the last. Example

...

ANSWER

Answered 2022-Jan-10 at 07:54

This can be done via: gsub:

Source https://stackoverflow.com/questions/70648936

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

Vulnerabilities

No vulnerabilities reported

Install cola

You can download it from GitHub.
You can use cola 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: