Project4

.github/workflows/Auto_Commentv2 .yml

@@ -1,28 +1,31 @@
 name: Auto Commentv2
-on: [issues, pull_request_target]
+on: [issues, pull_request, pull_request_target] # Include pull_request here for commenting
 jobs:
   test:
     runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
     steps:
       - uses: actions/checkout@v2
-      - name: 🚧　Install
+      - name: 🚧 Install
         run: |
           yarn
-      - name: 📦　Build
+      - name: 📦 Build
         run: |
           yarn build
-      - uses: ./
+      - uses: ./ # Ensure this points to the correct action path
         with:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           issuesOpened: >
             👋 @{{ author }}
 
-            Thank you for raising an issue. We will investigate into the matter and get back to you as soon as possible.
+            Thank you for raising an issue. We will investigate the matter and get back to you as soon as possible.
 
             Please make sure you have given us as much context as possible.
           pullRequestOpened: >
             👋 @{{ author }}
 
             Thank you for raising your pull request.
 
-            Please make sure you have followed our contributing guidelines. We will review it as soon as possible
+            Please make sure you have followed our contributing guidelines. We will review it as soon as possible.

CONTRIBUTING.md

@@ -1,3 +1,9 @@
+#### Name: [Ayushman Pal](https://github.com/WannaCry016)
+
+- Place: Chennai, India
+- Bio: Fullstack Developer | Mobile Game Developer | ML/AI Enthusiast
+- GitHub: [WannaCry016](https://github.com/WannaCry016)
+
 #### Name: [3mYouOL](https://github.com/3mYouOL)
 
 - Place: Iloilo, Philippines

PROJECTS/Download_images_from_websites.py/Readme.md

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+# Scrap images from URL
+
+1. Dowmload Chrome Drive From Chrome.
+2. Run scrap-img.py file `py scrap-img.py`
+3. `Enter Path : E:\webscraping\chromedriver_win32\chromedriver.exe` <br/>
+   `Enter URL : https://dribbble.com/`

PROJECTS/Download_images_from_websites.py/requirements.txt

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+selenium==3.141.0

PROJECTS/Download_images_from_websites.py/scrap_img.py

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+from selenium import webdriver
+import requests as rq
+import os
+from bs4 import BeautifulSoup
+import time
+
+# path= E:\web scraping\chromedriver_win32\chromedriver.exe
+path = input("Enter Path : ")
+
+url = input("Enter URL : ")
+
+output = "output"
+
+
+def get_url(path, url):
+    driver = webdriver.Chrome(executable_path=r"{}".format(path))
+    driver.get(url)
+    print("loading.....")
+    res = driver.execute_script("return document.documentElement.outerHTML")
+
+    return res
+
+
+def get_img_links(res):
+    soup = BeautifulSoup(res, "lxml")
+    imglinks = soup.find_all("img", src=True)
+    return imglinks
+
+
+def download_img(img_link, index):
+    try:
+        extensions = [".jpeg", ".jpg", ".png", ".gif"]
+        extension = ".jpg"
+        for exe in extensions:
+            if img_link.find(exe) > 0:
+                extension = exe
+                break
+
+        img_data = rq.get(img_link).content
+        with open(output + "\\" + str(index + 1) + extension, "wb+") as f:
+            f.write(img_data)
+
+        f.close()
+    except Exception:
+        pass
+
+
+result = get_url(path, url)
+time.sleep(60)
+img_links = get_img_links(result)
+if not os.path.isdir(output):
+    os.mkdir(output)
+
+for index, img_link in enumerate(img_links):
+    img_link = img_link["src"]
+    print("Downloading...")
+    if img_link:
+        download_img(img_link, index)
+print("Download Complete!!")

PROJECTS/Hashing Passwords/hashing_passwords.py

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+# -*- cofing: utf-8 -*-
+import argparse
+import hashlib
+
+# parsing
+parser = argparse.ArgumentParser(description='hashing given password')
+parser.add_argument('password', help='input password you want to hash')
+parser.add_argument('-t', '--type', default='sha256',choices=['sha256', 'sha512', 'md5'] )
+args = parser.parse_args() 
+
+# hashing given password
+password = args.password
+hashtype = args.type
+m = getattr(hashlib,hashtype)()
+m.update(password.encode())
+
+# output
+print("< hash-type : " + hashtype + " >")
+print(m.hexdigest())

PROJECTS/Plagarism_Checker/Readme.md

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+# Plagarism checker
+
+<!--Remove the below lines and add yours -->
+
+Python script for checking the amount of similarity between two (or more) text files.
+
+### Prerequisites
+
+<!--Remove the below lines and add yours -->
+
+Sklearn module
+Installation:
+
+```
+$ pip install -U scikit-learn
+```
+
+### How to run the script
+
+<!--Remove the below lines and add yours -->
+
+```
+$ python plag.py
+```

PROJECTS/Plagarism_Checker/plag.py

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+#pip install -U scikit-learn
+#Make sure all the .txt files that need to be checked are in the same directory as the script
+import os
+from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.metrics.pairwise import cosine_similarity
+
+user_files = [doc for doc in os.listdir() if doc.endswith('.txt')]
+user_notes = [open(_file, encoding='utf-8').read()
+                 for _file in user_files]
+
+
+def vectorize(Text): return TfidfVectorizer().fit_transform(Text).toarray()
+def similarity(doc1, doc2): return cosine_similarity([doc1, doc2])
+
+
+vectors = vectorize(user_notes)
+s_vectors = list(zip(user_files, vectors))
+plagiarism_results = set()
+
+
+def check_plagiarism():
+    global s_vectors
+    for student_a, text_vector_a in s_vectors:
+        new_vectors = s_vectors.copy()
+        current_index = new_vectors.index((student_a, text_vector_a))
+        del new_vectors[current_index]
+        for student_b, text_vector_b in new_vectors:
+            sim_score = similarity(text_vector_a, text_vector_b)[0][1]
+            student_pair = sorted((student_a, student_b))
+            score = (student_pair[0], student_pair[1], sim_score)
+            plagiarism_results.add(score)
+    return plagiarism_results
+
+
+for data in check_plagiarism():
+    print(data)

PROJECTS/Plagarism_Checker/text1.txt

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+Nature is the endless expanse of life forms, beauty, resources, peace and nourishment. Every bud that grows to a flower, every caterpillar that flies with the wings of a butterfly and every infant who faces the world as a human, owes its survival and sustenance to nature. In addition to providing resources for our daily needs of food, clothing and shelter, nature also contributes to different industries and manufacturing units. Paper, furniture, oil, gemstones, petrol, diesel, the fishing industry, electrical units, etc. all derive their basic components from nature.
+
+It can be said that nature drives the process of converting everything that is natural on earth into most of the things that are artificial. Nature also maintains the continuity between the different spheres on Earth. Owing to the multiple elements obtained from nature, with a growing population, the need to meet demands is increasing every day. At an equal pace is rising the level of air, water, soil and noise pollution as a result of the universal dependence on technology.
+
+While it is necessary to keep up with industrialization, it is an urgent need now to restore stability in nature. People are trying to curb the level of pollution and stop the exhaustion of natural resources. However, more awareness and implementation is a must at the individual and community levels. We must always remember it is us who depend on nature for survival and not the other way round.

PROJECTS/Plagarism_Checker/text2.tx

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+Great lengths of mountains, thriving ecosystems, the ever-spreading sky together with the lithosphere, hydrosphere and atmosphere create a saga called “Nature”. Rich both in terms of its scenic beauty and replenishing resources, nature accounts for supporting life in different shapes and forms on our planet.
+
+Every member of the living world obtains its life support from nature. Nature guides the cycling of air, water and life between the different constituents or spheres on Earth. The treasures in nature not only provide for our basic requirements of survival but also fuel the raw materials to support factories and industries on which the modern world primarily runs.
+
+Since the population is increasing at an exponential rate largely in India and many parts of the world, the “use” of resources has now turned to depletion. Adding to this, are the excessive levels of atmospheric and environmental pollution. Industrial wastes, unchecked use of vehicles, illegal cutting of trees, poaching of animals, nuclear power plants and many more are contributing to the disruption of the natural systems and global warming.

Python/Nmap_Scanner.py

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+import nmap 
+
+nm = nmap.PortScanner() 
+
+# scan a target host for open ports 
+nm.scan('localhost', arguments='-p 22,80,443') 
+
+# print the state of the ports 
+for host in nm.all_hosts(): 
+	print('Host : %s (%s)' % (host, nm[host].hostname())) 
+	print('State : %s' % nm[host].state()) 
+	for proto in nm[host].all_protocols(): 
+		print('Protocol : %s' % proto) 
+		ports = nm[host][proto].keys() 
+		for port in ports: 
+			print('port : %s\tstate : %s' % (port, nm[host][proto][port]['state']))

profiles/Ayushman Pal.md

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+# Ayushman Pal
+
+### Location
+
+Chennai, INDIA
+
+### Academics
+
+- Pursuing Btech in Chemical Engineering at Indian Institute of Technology, Madras
+
+### Interests
+
+- Learning Enthusiast
+- Music
+- Python
+- HTML/CSS/JS
+- DSA (C++)
+
+### Skills
+
+- DSA
+- Typing(with speed more than 140WPM)
+- Java
+- Git & GitHub 
+- Python
+
+### Projects
+- [Smart FAQ Module](https://github.com/WannaCry016/SMARTFAQ-MODULE) - A Smart Faq Module that recommend Faqs based on search
+
+### Profile Link
+
+[Ayushman Pal](https://github.com/WannaCry016)

scripts/hello_world_WannaCry016.py

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+# LANGUAGE: Python
+# ENV: Python 3
+# AUTHOR: Ayushman Pal
+# GITHUB: https://github.com/WannaCry016
+
+print("Hello World")