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Remove blank lines after docstring
1 parent 5fb3ea1 commit c9c9451

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9 files changed

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-20
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9 files changed

+0
-20
lines changed

Auto_Backup/Auto_Backup.py

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@@ -53,7 +53,6 @@ def size_if_newer(source, target):
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Returns: The Size difference
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"""
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src_stat = os.stat(source)
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try:
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target_ts = os.stat(target).st_mtime
@@ -110,7 +109,6 @@ def transfer_file(source, target, compress):
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target: Target for ZIP file
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compress: The compression threshold
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"""
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try:
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if compress:
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with gzip.open(target + '.gz', 'wb') as target_fid:

Bubble-Sort-Visualization/bubble_sort.py

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@@ -85,7 +85,6 @@ def bubble_sort(data, speed):
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data => array to be sorted
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speed => speed of the simulation
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"""
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for i in range(len(data)-1):
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for j in range(len(data) - i - 1):
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if data[j] > data[j+1]:

Facial-Expression-Recognition/retrain.py

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@@ -684,7 +684,6 @@ def add_input_distortions(flip_left_right, random_crop, random_scale,
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Returns:
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The jpeg input layer and the distorted result tensor.
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"""
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jpeg_data = tf.placeholder(tf.string, name='DistortJPGInput')
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decoded_image = tf.image.decode_jpeg(jpeg_data, channels=input_depth)
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decoded_image_as_float = tf.cast(decoded_image, dtype=tf.float32)

Image_Background_Subtractor/BG_Subtractor.py

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@@ -27,7 +27,6 @@ def draw_rectangle(event, x, y, flags, params):
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any event is happened on the image that is clicking any button on
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mouse or keyboard.
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"""
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global ix, iy, drawn, rectangle
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if event == cv2.EVENT_LBUTTONDOWN:
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# When you click DOWN with left mouse button
@@ -58,8 +57,6 @@ def background_sub(image):
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:param image: Image on which Background subtraction is to be performed.
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:return:
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"""
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# To check if ROI has been selected or not
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global drawn
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# This names the window so we can reference it

PDF-Tools/main.py

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Original file line numberDiff line numberDiff line change
@@ -4,7 +4,6 @@
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def merge_pdfs():
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''' Merge multiple PDF's into one combined PDF '''
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input_paths = input(r"Enter comma separated list of paths to the PDFs ")
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paths = input_paths.split(',')
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pdf_file_writer = PdfFileWriter()
@@ -22,7 +21,6 @@ def merge_pdfs():
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def split_pdfs():
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'''Split PDF to multiple PDF's of 1 Page each'''
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input_pdf = input(r"Enter I/P PDF path ")
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pdf = PdfFileReader(input_pdf)
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for page in range(pdf.getNumPages()):
@@ -38,7 +36,6 @@ def split_pdfs():
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def add_watermark():
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''' Adds watermark to given PDF.
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Note: The watermark PDF should be a image with transparent background '''
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input_pdf = input(r"Enter I/P PDF path ")
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watermark = input(r"Enter watermark PDF path ")
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watermark_obj = PdfFileReader(watermark)
@@ -59,7 +56,6 @@ def add_watermark():
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def add_encryption():
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''' Encrypts the given PDF with the provided password '''
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input_pdf = input(r"Enter I/P PDF path ")
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password = input(r"Enter password ")
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pdf_file_writer = PdfFileWriter()
@@ -76,7 +72,6 @@ def add_encryption():
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def rotate_pages():
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'''Rotate the given PDF left or right by 90 degrees.'''
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input_pdf = input(r"Enter I/P PDF path ")
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pdf_file_writer = PdfFileWriter()
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pdf_file_reader = PdfFileReader(input_pdf)
@@ -169,9 +164,6 @@ def reorder_pages():
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def menu():
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'''Menu for the various functionalities offered'''
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# Change Current working directory to where the script is located.
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# This is done to enable use of relative paths from base folder.
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abspath = os.path.abspath(__file__)
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dname = os.path.dirname(abspath)
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os.chdir(dname)

Rearrange-PDF/ReArrange.py

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@@ -20,7 +20,6 @@ def input_and_parse(n):
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Returns:
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dic :A parsed dictionary.
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"""
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print(
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"enter the current page and the page you want it to be on seperate values by a comma ',' \n"
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)

Text-Extract-Images/text_extract.py

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@@ -11,8 +11,6 @@ def extract():
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Function for extracting text from images.
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Additional it saves the text extracted as a txt file.
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"""
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# Enter the name of folder which contains img files
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image_location = input("Enter the Folder name containing Images: ")
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image_path = os.path.join(current_location, image_location)
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Tictactoe-Using-Minmax/main.py

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@@ -69,7 +69,6 @@ def playerMove():
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'''
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Take the input from user and validate user's input
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'''
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run = True
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while run:
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try:

Traffic-Sign-Detection/traffic_sign_detection.py

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@@ -187,7 +187,6 @@ def build(width, height, depth, classes):
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"""
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Initialize the model and its dimension
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"""
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model = keras.Sequential()
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inputShape = (height, width, depth)
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chanDim = -1

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