Use f-strings and remove unnecessary comments
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@@ -3,12 +3,10 @@ from collections import Counter
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# function to find path of desired character
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def find_node(nodes, target_character):
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# for each item in nodes
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for index, item in enumerate(nodes):
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# if item is desired character, return the path to it
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if item == target_character:
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# return its path
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return [str(index)]
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# if the item is a list or tuple
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if isinstance(item, (list, tuple)):
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# run this function again to dig further into the nested items
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path = find_node(item, target_character)
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@@ -19,13 +17,13 @@ def find_node(nodes, target_character):
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return []
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def encode(txt):
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# create list of tuples in descending order of frequency: (character, frequency)
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# list of tuples in descending order of frequency: (character, frequency)
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info = Counter(txt).most_common()
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# change the list into ascending order
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info.reverse()
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# create list for character tuples
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# list for character tuples
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nodes = []
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# create list for node usage frequencies
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# list for node usage frequencies
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frequencies = []
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# copy nodes and their usage frequencies to the dedicated lists
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@@ -44,40 +42,34 @@ def encode(txt):
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# remove frequencies that have been summed and added to the new frequency
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del frequencies[0:2]
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# find index of last node with frequency below that of the new node
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# find index of the last node with a frequency below that of the new node
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# if the largest frequency is smaller than the new one, place the new node at the end of the list
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if (frequencies[-1] < new_frequency):
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i = -1
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else:
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# else, loop over every frequency
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for index, item in enumerate(frequencies):
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# if the frequency is greater than or equal to the new frequency
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if (item >= new_frequency):
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# loop over every frequency
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for index, frequency in enumerate(frequencies):
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if (frequency >= new_frequency):
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# record the index to insert the frequency at
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i = index
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# stop looping
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break
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# insert the new node in its rightful position, maintaining ascending order of frequency
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# insert the new node and frequency in their rightful positions, maintaining ascending order of frequency
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nodes.insert(i, new_node)
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# insert the new frequency in its rightful position, maintaining ascending order of frequency
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frequencies.insert(i, new_frequency)
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# print all nodes
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print("Nodes: %s" % nodes)
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print(f"Nodes: {nodes}")
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# encrypted text
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output = ""
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# for every character in the text to be encrypted
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for char in txt:
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# find its path and add it to the encrypted text
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output += "".join(find_node(nodes, char))
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# print encoded message
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print("Encoded message: %s" % output)
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print(f"Encoded message: {output}")
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# return encoded message
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return [output, nodes]
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def decode(txt, nodes):
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@@ -85,20 +77,16 @@ def decode(txt, nodes):
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output = ""
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# replicate nodes, for looping over and editing with the first part of the code
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node = nodes
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# for each digit
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for digit in txt:
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# get the node with the corresponding index
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node = node[int(digit)]
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# if the retrieved node isn't a tuple (i.e. it isn't a parent node)
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if (not isinstance(node, tuple)):
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# add the node's content to the output
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output += node
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# replace the retrieved node with the whole tree again, for looping over and editing with the next part of the code
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node = nodes
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# print decoded message
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print("Decoded message: %s" % output)
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# return decoded message
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print(f"Decoded message: {output}")
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return output
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encoding = encode(input("Text: "))
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