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CaaS-1.5


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توضیحات

A Python library for Compression as a Service. CaaS can compress images, audio, video, text files
ویژگی مقدار
سیستم عامل -
نام فایل CaaS-1.5
نام CaaS
نسخه کتابخانه 1.5
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Mayur Deshmukh
ایمیل نویسنده mayur.s.deshmukh10@gmail.com
آدرس صفحه اصلی https://github.com/MayurDeshmukh10/CaaS
آدرس اینترنتی https://pypi.org/project/CaaS/
مجوز MIT
[![PyPI version](https://badge.fury.io/py/CaaS.svg)](https://badge.fury.io/py/CaaS) # CaaS CaaS is a Python library which provides Compression as a Service. CaaS offers reasonable and high speed compression by taking advantage of the Serverless Technology. CaaS mainly performs effective compression on Image, Audio and Video files and effective lossless compression/decompression on text files. CaaS library uses custom file compression algorithms which are deployed on Openwhisk Serverless Framework. ## Installation CaaS can be installed by running ` pip3 install CaaS `. It requires ` Python 3.6.0 and above ` to run. ## Abstract Usage The detailed usage of each interface is given under the section Interfaces. Here is the abstract usage of the CaaS library. `from CaaS import interface` <br /> `response = interface("filename_of_file_to_compress","filename_of_compressed_file","authorization_key")` here, ` interface `: interface for compressing image, video, audio and text files. It is discussed in detail for each type of file in Interfaces section. ###### ` response `: stores HTTP status code returned for your request. ## Interfaces ### CaaS::image_compression - `image_compression` is the interface for Image Compression. - It uses Semantic Perceptual Image Compression algorithm to compress the image files. - Semantic Perceptual Image Compression algorithm is implemented and deployed on the Openwhisk Serverless Framework. - CaaS provides support for compression of JPEG and PNG image files. #### Usage: `from CaaS import image_compression` <br /> `response=image_compression("image_file_to_compress","filename_of_compressed_image_file","authorization_key")` ### CaaS::video_compression - `video_compression` is the interface for Video Compression. - It uses Semantic Perceptual Compression algorithm to compress the video files. - Semantic Perceptual Compression algorithm is implemented and deployed on the Openwhisk Serverless Framework. - CaaS provides support for compression of MP4 video files. #### Usage: `from CaaS import video_compression` <br /> `response = video_compression("video_file_to_compress","filename_of_compressed_video_file","authorization_key")` ### CaaS::audio_compression - `audio_compression` is the interface for Audio Compression. - It uses Principal Component Analysis algorithm to compress the audio files. - Principal Component Analysis algorithm is implemented and deployed on the Openwhisk Serverless Framework. - CaaS provides support for compression of WAV and MP3 audio files. #### Usage: `from CaaS import audio_compression` <br /> `response = audio_compression("audio_file_to_compress","filename_of_compressed_audio_file","authorization_key")` ### CaaS::text_compression - `text_compression` is the interface for Text Compression. - It uses Adaptive Huffman Compression algorithm to compress the text files. - Adaptive Huffman Compression algorithm is implemented and deployed on the Openwhisk Serverless Framework. - CaaS provides support for compression of TXT Files and Programming Files(e.g.: .cpp, .py, .java, .js, etc). #### Usage: `from CaaS import text_compression` <br /> `response = text_compression("text_file_to_compress","filename_of_compressed_file","authorization_key")` ### CaaS::text_decompression - `text_decompression` is the interface for Text Decompression. - It uses Adaptive Huffman Decompression algorithm to decompress the text files. - Adaptive Huffman Decompression algorithm is implemented and deployed on the Openwhisk Serverless Framework. - CaaS provides support for decompression of TXT Files and Programming Files(e.g.: .cpp, .py, .java, .js, etc). ##### NOTE: As the implemented Text Compression and Decompression is lossless, the input to the `text_decompression` interface must be the text file compressed with the `text_compression` interface. #### Usage: `from CaaS import text_decompression` <br /> `response = text_decompression("file_to_decompress","filename_of_decompressed_text_file","authorization_key")`


نحوه نصب


نصب پکیج whl CaaS-1.5:

    pip install CaaS-1.5.whl


نصب پکیج tar.gz CaaS-1.5:

    pip install CaaS-1.5.tar.gz