huffman-coding | Python Implementaion of Huffman Coding | Compression library

by bhrigu123 Python Version: Current License: No License

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

kandi X-RAY | huffman-coding Summary

huffman-coding is a Python library typically used in Utilities, Compression applications. huffman-coding has no bugs, it has no vulnerabilities and it has low support. However huffman-coding build file is not available. You can download it from GitHub.

Explanation on YouTube video Was originally posted in blog article at Consists compress and decompress function. To run the code for compression of any other text file, edit the path variable in the useHuffman.py file. For now, the decompress() function is to be called from the same object from which the compress() function was called. (as the encoding information is stored in the data members of the object only).

Support

Quality

Security

License

Reuse

Support

huffman-coding has a low active ecosystem.

It has 54 star(s) with 46 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of huffman-coding is current.

Quality

huffman-coding has 0 bugs and 0 code smells.

Security

huffman-coding has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

huffman-coding code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

huffman-coding 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

huffman-coding releases are not available. You will need to build from source code and install.

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

huffman-coding saves you 51 person hours of effort in developing the same functionality from scratch.

It has 136 lines of code, 16 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Decompress the file
Decode encoded text
Remove padding
Compress the text
Recursively build code
Convert encoded text to byte array
Merges two nodes
Pad encoded text
Make frequency from text
Get encoded text
Make the code blocks
Make a heap

Get all kandi verified functions for this library.

huffman-coding Key Features

No Key Features are available at this moment for huffman-coding.

huffman-coding Examples and Code Snippets

No Code Snippets are available at this moment for huffman-coding.

Community Discussions

Trending Discussions on huffman-coding

How to compress an integer to a smaller string of text?

Using a preset deflate dictionary to reduce compressed archive file size

Issues with a Reference Code for Running Canonical Huffman Code on Java

QUESTION

How to compress an integer to a smaller string of text?

Asked 2021-Jun-01 at 21:47

Given a random integer, for example, 19357982357627685397198. How can I compress these numbers into a string of text that has fewer characters?

The string of text must only contain numbers or alphabetical characters, both uppercase and lowercase.

I've tried Base64 and Huffman-coding that claim to compress, but none of them makes the string shorter when writing on a keyboard.

I also tried to make some kind of algorithm that tries to divide the integer by the numbers "2,3,...,10" and check if the last number in the result is the number it was divided by (looks for 0 in case of division by 10). So, when decrypting, you would just multiply the number by the last number in the integer. But that does not work because in some cases you can't divide by anything and the number would stay the same, and when it would be decrypted, it would just multiply it into a larger number than you started with.

I also tried to divide the integer into blocks of 2 numbers starting from left and giving a letter to them (a=1, b=2, o=15), and when it would get to z it would just roll back to a. This did not work because when it was decrypted, it would not know how many times the number rolled over z and therefore be a much smaller number than in the start.

I also tried some other common encryption strategies. For example Base32, Ascii85, Bifid Cipher, Baudot Code, and some others I can not remember.

It seems like an unsolvable problem. But because it starts with an integer, each number can contain 10 different combinations. While in the alphabet, letters can contain 26 different combinations. This makes it so that you can store more data in 5 alphabetical letters, than in a 5 digit integer. So it is possible to store more data in a string of characters than in an integer in mathematical means, but I just can't find anyone who has ever done it.

...

ANSWER

Answered 2021-Jun-01 at 21:47

You switch from base 10 to eg. base 62 by repeatedly dividing by 62 and record the remainders from each step like this:

Source https://stackoverflow.com/questions/67791840

QUESTION

Using a preset deflate dictionary to reduce compressed archive file size

Asked 2021-May-23 at 02:01

I have a requirement where text files are send from one location to other. Both location are in our control. The nature of content and the words that could appear in this are mostly the same. Which means, if I keep the delate dictionary in both location once, there is no need to send it with file.

I have been reading about this last 1 week and experimenting with some available codes such as this & this.

However, I am still in dark.

Few questions I still have:

Can we generate and use custom deflate dictionary from a preset of words?
Can we send file without the deflate dictionary and use local one?
If not gzip, are there any such compression library that can be used for this purpose?

Some references I stumbled upon so far:

...

ANSWER

Answered 2021-May-22 at 00:15

The zlib library supports dictionaries with the zlib (not gzip) format. See deflateSetDictionary() and inflateSetDictionary().

There is nothing special about the construction of a dictionary. All it is is 32K bytes of strings that you believe will occur often in the data you are compressing. You should put the most common strings at the end of the 32K.

Source https://stackoverflow.com/questions/67632095

QUESTION

Issues with a Reference Code for Running Canonical Huffman Code on Java

Asked 2021-May-09 at 22:24

I am running the Java program shown here to generate canonical Huffman codes, https://www.geeksforgeeks.org/canonical-huffman-coding/

Although the code gives the correct canonical Huffman codes with the shown input, for other cases I don't find the codes to be prefix code and correct. For example ,

...

ANSWER

Answered 2021-May-09 at 22:24

It is generating the codes correctly, but then printing them incorrectly. It is leaving off the leading zero bits of the codes that have them. They should have prepended the necessary zero bits after converting the number to a string of digits.

If you replace the line that prints the code with this:

Source https://stackoverflow.com/questions/67462155

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

Vulnerabilities

No vulnerabilities reported

Install huffman-coding

You can download it from GitHub.
You can use huffman-coding 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: