Merge pull request #1298 from lakshay451/lakshay451

Lakshay451

Author: avinashkranjan

Fibonacci_Sequence_Generator/Fibonacci.py

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+def Fibbo_Sequence_Generator():
+    # Generates a fibonacci sequence with the size of ngi
+    runFib = True
+    while(runFib):
+        n = int(input('How many numbers do you need? '))
+        if n > 0 :
+            runFib = False
+            series = [1]
+
+            while len(series) < n:
+                if len(series) == 1:
+                    series.append(1)
+                else:
+                    series.append(series[-1] + series[-2])
+
+            for i in range(len(series)):  # Convert the numbers to strings
+                series[i] = str(series[i])
+        else:
+            print('enter a valid number')
+
+    return(', '.join(series))  # Return the sequence seperated by commas
+
+print(Fibbo_Sequence_Generator())

Fibonacci_Sequence_Generator/README.md

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+# Python Fibonacci Sequence Generator
+This python script will ask you how many numbers do you need to see in the Fibonacci Sequence and generates the sequence based on your input.
+
+## Requirement
+Python 3.xx 
+
+## Running the script
+```bash
+python Fibonacci.py
+```

Plagiarism_detector/README.md

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+# Plagiarism Detector
+This script helps to detect the amount (percentage) of similarity between 2 files .
+
+## Input
+It takes paths of 2 files you want to compare as input
+
+## Output
+It returns the percentage of similarity between the 2 files

Plagiarism_detector/plagiarism.py

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+from difflib import SequenceMatcher
+
+def similarity_per(f1,f2):
+    with open(f1,errors="ignore") as file1,open(f2,errors="ignore") as file2:
+        file1_data=file1.read()
+        file2_data=file2.read()
+        similarity=SequenceMatcher(None,file1_data,file2_data).ratio()
+        print(f"these 2 files are {similarity*100} % similar")
+
+if __name__ == '__main__':
+    f1=input("file 1 path :")
+    f2=input("file 2 path :")
+    similarity_per(f1,f2)

imageWatermarker/README.md

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+## Python script to watermark your images
+
+in the `main.py` file edit the following items:
+
+```bash
+        "<input folder>",
+        "<output folder>",
+        "<watermark image>"
+```
+
+using the input folder path to loop over all images and output them to outputfolder.
+
+Best practise is to use a image with transparent background.

imageWatermarker/main.py

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+import os
+import sys
+from os.path import join
+from PIL import Image, ImageEnhance
+
+def FolderSelectAndRun():
+    batch(
+        "<input folder>",
+        "<output folder>",
+        "<watermark image>"
+    )
+
+
+basewidth = 2048
+
+def batch(infolder, outfolder, watermark):
+    mark = Image.open(watermark)
+    count = 0
+    for root, dirs, files in os.walk(infolder):
+        for name in files:
+            try:
+                count += 1
+                im = Image.open(join(root, name))
+
+                # New image in the making
+                layer = Image.new('RGBA', im.size, (0, 0, 0, 0))
+                position = (im.size[0] - (mark.size[0] + 50),
+                            im.size[1] - (mark.size[1] + 50))
+                layer.paste(mark, position)
+                new_image = Image.composite(layer, im, layer)
+
+                # Resize in perspective
+                wpercent = (basewidth / float(im.size[0]))
+                hsize = int((float(new_image.size[1]) * float(wpercent)))
+                smaller_new_image = new_image.resize(
+                    (basewidth, hsize), Image.ANTIALIAS)
+
+                # Save new smaller image
+                smaller_new_image.save(
+                    join(outfolder, ('with-watermark_' + name)), 'jpeg')
+
+            except Exception as error:
+                # Debug line while making changes
+                print('Caught this error: ' + repr(error))
+
+
+if __name__ == '__main__':
+    FolderSelectAndRun()

imageWatermarker/requirements.txt

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+Pillow==7.2.0