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توضیحات

An intelligent license scanner.

ویژگی	مقدار
سیستم عامل	-
نام فایل	atarashi-0.0.11
نام	atarashi
نسخه کتابخانه	0.0.11
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Aman Jain
ایمیل نویسنده	amanjain5221@gmail.com
آدرس صفحه اصلی	https://github.com/fossology/atarashi
آدرس اینترنتی	https://pypi.org/project/atarashi/
مجوز	GPL-2.0-only

# Atarashi [![Build Status](https://travis-ci.com/fossology/atarashi.svg?branch=master)](https://travis-ci.com/fossology/atarashi) Open source software is licensed using open source licenses. There are many of open source licenses around and adding to that, open source software packages involve sometimes multiple licenses for different files. Atarashi provides different methods for scanning for license statements in open source software. Unlike existing rule-based approaches - such as the Nomos license scanner from the FOSSology project - atarashi implements multiple text statistics and information retrieval algorithms. Anticipated advantages is an improved precision while offering an as easy as possible approach to add new license texts or new license references. Atarashi is designed to work stand-alone and with FOSSology. More info at http://fossology.github.io/atarashi ### Requirements - Python >= v3.5 - pip >= 18.1 ## Steps for Installation ### Install #### Install from PyPi - `pip install atarashi` #### Source install - `pip install .` - It will download all dependencies required and trigger build as well. - Build will generate 3 new files in your current directory 1. `data/Ngram_keywords.json` 2. `licenses/<SPDX-version>.csv` 3. `licenses/processedList.csv` - These files will be placed to their appropriate places by the install script. ### Installing just dependencies - `pip install -r requirements.txt` ### Build (optional) - `$ python3 setup.py build` ## How to run Get the help by running `atarashi -h` or `atarashi --help` ### Example - Running **DLD** agent `atarashi -a DLD /path/to/file.c` - Running **wordFrequencySimilarity** agent `atarashi -a wordFrequencySimilarity /path/to/file.c` - Running **tfidf** agent - With **Cosine similarity** `atarashi -a tfidf /path/to/file.c` `atarashi -a tfidf -s CosineSim /path/to/file.c` - With **Score similarity** `atarashi -a tfidf -s ScoreSim /path/to/file.c` - Running **Ngram** agent - With **Cosine similarity** `atarashi -a Ngram /path/to/file.c` `atarashi -a Ngram -s CosineSim /path/to/file.c` - With **Dice similarity** `atarashi -a Ngram -s DiceSim /path/to/file.c` - With **Bigram Cosine similarity** `atarashi -a Ngram -s BigramCosineSim /path/to/file.c` - Running in **verbose** mode `atarashi -a DLD -v /path/to/file.c` - Running with custom CSVs and JSONs - Please reffer to the build instructions to get the CSV and JSON understandable by atarashi. - `atarashi -a DLD -l /path/to/processedList.csv /path/to/file.c` - `atarashi -a Ngram -l /path/to/processedList.csv -j /path/to/ngram.json /path/to/file.c` ### Running Docker image 1. Pull Docker image `docker pull fossology/atarashi:latest` 2. Run the image `docker run --rm -v <path/to/scan>:/project fossology/atarashi:latest <options> /project/<path/to/file>` Since docker can not access host fs directly, we mount a volume from the directory containing the files to scan to `/project` in the container. Simply pass the options and path to the file relative to the mounted path. ### Test - Run imtihaan (meaning *Exam* in Hindi) with the name of the Agent. - eg. `python atarashi/imtihaan.py /path/to/processedList.csv <DLD|tfidf|Ngram> <testfile>` - See `python atarashi/imtihaan.py --help` for more ## Creating Debian packages - Install dependencies ``` # apt-get install python3-setuptools python3-all debhelper # pip install stdeb ``` - Create Debian packages ``` $ python3 setup.py --command-packages=stdeb.command bdist_deb ``` - Locate the files under `deb_dist` ## License SPDX-License-Identifier: GPL-2.0 This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 2 as published by the Free Software Foundation. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. ## How to generate the documentation using sphinx 1. Go to project directory 'atarashi'. 2. Install Sphinx and m2r `pip install sphinx m2r` (Since this project is based on python so `pip` is already installed). 3. Initialise `docs/` directory with `sphinx-quickstart` ```bash mkdir docs cd docs/ sphinx-quickstart ``` - `Root path for the documentation [.]: .` - `Separate source and build directories (y/n) [n]: n` - `autodoc: automatically insert docstrings from modules (y/n) [n]: y` - `intersphinx: link between Sphinx documentation of different projects (y/n) [n]: y` - Else use the default option 4. Setup the `conf.py` and include `README.md` - Enable the following lines and change the insert path: ```python import os import sys sys.path.insert(0, os.path.abspath('../')) ``` - Enable `m2r` to insert `.md` files in Sphinx documentation: ```python [...] extensions = [ ... 'm2r', ] [...] source_suffix = ['.rst', '.md'] ``` - Include `README.md` by editing `index.rst` ```rst .. toctree:: [...] readme .. mdinclude:: ../README.md ``` 5. Auto-generate the `.rst` files in `docs/source` which will be used to generate documentation ```bash cd docs/ sphinx-apidoc -o source/ ../atarashi ``` 6. `cd docs` 7. `make html` This will generate file in `docs/_build/html`. Go to: index.html You can change the theme of the documentation by changing `html_theme` in config.py file in `docs/` folder. You can choose from {'alabaster', 'classic', 'sphinxdoc', 'scrolls', 'agogo', 'traditional', 'nature', 'haiku', 'pyramid', 'bizstyle'} [Reference](http://www.sphinx-doc.org/en/master/theming.html)

نیازمندی

مقدار	نام
>=0.0.3	nirjas
>=1.16.0	numpy
>=0.23.1	pandas
>=1.5	pyxDamerauLevenshtein
>=0.18.1	scikit-learn
>=0.18.1	scipy
>=39.2.0	setuptools
>=3.0.3	textdistance
>=4.23.4	tqdm
>=1.24.1	urllib3

زبان مورد نیاز

مقدار	نام
>=3.5	Python

نحوه نصب

نصب پکیج whl atarashi-0.0.11:

pip install atarashi-0.0.11.whl

نصب پکیج tar.gz atarashi-0.0.11:

pip install atarashi-0.0.11.tar.gz