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Patch 2#11

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Sindhu1702013 merged 6 commits intomasterfrom
patch-2
Feb 17, 2026
Merged

Patch 2#11
Sindhu1702013 merged 6 commits intomasterfrom
patch-2

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@Sindhu1702013
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Added changes

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Functional Assessment

Verdict: ✅ Completed

Requirements Met? Overall Progress Completed Incomplete

🧠 User Story ID: AC-001-A — Added Changes

📝 Feature Completeness

The Requirement was..

The system must incorporate the added changes as referenced in the input, ensuring general implementation of unspecified system updates.

This is what is built...

A comprehensive suite of Python programs was implemented, covering algorithms, data structures, networking, and utility scripts.


📊 Implementation Status

ID Feature/Sub-Feature Status Files
1 System Updates Completed P01_hello.py, P27_MergeSort.py, P31_SinglyLinkedList.py
1.1 └─ Implementation of Python Utility Programs Completed P41_PortScanner.py, P34_Stack.py

✅ Completed Components

ID Feature Summary
1 System Updates Implemented: A large collection of Python scripts including sorting algorithms, data structures, and networking utilities.
1.1 Implementation of Python Utility Programs Implemented: Over 25 Python files covering sorting, searching, data structures, and multiprocessing.

Completed Incomplete


🎯 Conclusion & Final Assessment

Important

🟢 Completed Features: Key completed features include the implementation of various sorting algorithms (Bubble, Selection, Insertion, Merge, Quick), data structures (Array, Stack, Singly/Doubly Linked Lists), and networking tools (Port Scanner, Client-Server multithreading).

🔴 Incomplete Features: No incomplete features were identified based on the general requirement to incorporate added changes.

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⚙️ DevOps and Release Automation

🟢 Status: Passed

🌟 Excellent work! Your code passed the DevOps review. Some improvements are suggested which will greatly improve the security/reliability/maintainability of your infrastructure.


🟡 Recommended Improvements
Filename Severity Violation Description
Test2/P32_Mutithreading_Server.py Warning The server socket is hardcoded to bind to '127.0.0.1', which will prevent external connections and cause issues in containerized or cloud environments.
Test2/P32_Mutithreading_Server.py Warning The server port is hardcoded to 1233, which can cause deployment conflicts and makes configuration difficult.
Test2/P32_Multithreading_Client.py Warning The client is hardcoded to connect to '127.0.0.1', which prevents it from connecting to a server in a different environment without code changes.
Test2/P32_Multithreading_Client.py Warning The client port is hardcoded to 1233, which can cause connection issues if the server port is changed.
Test2/P38_HashingFile.py Warning The script uses a hardcoded absolute file path, which will fail in any other environment or on any other user's machine.
Test2/P38_HashingFile.py Warning The script uses the MD5 hashing algorithm, which is known to be insecure and vulnerable to collisions.

🎯 Conclusion

  • Externalize all environment-specific configurations, such as IP addresses, ports, and file paths, using environment variables or command-line arguments. This is critical for creating portable and deployable applications.
  • Avoid using outdated and insecure cryptographic algorithms like MD5. Standardize on modern, secure alternatives such as SHA-256 for any hashing needs.

Important

Please carefully assess each DevOps and migration violation's impact before proceeding to ensure smooth transitions between environments.

from _thread import *

ServerSocket = socket.socket()
host = '127.0.0.1'
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Warning Confidence Score: 100%

Hardcoded IP Address for Server Binding

I noticed the server is hardcoded to bind to 127.0.0.1. This restricts connections to the local machine only and will prevent the service from being accessible in containerized environments (like Docker) or when deployed to a cloud VM.

Let's change this to 0.0.0.0 to allow the server to listen on all available network interfaces. This makes the application portable and ready for deployment.

Suggested change
host = '127.0.0.1'
host = '0.0.0.0'


ServerSocket = socket.socket()
host = '127.0.0.1'
port = 1233
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Warning Confidence Score: 100%

Hardcoded Port Number

I see the port number 1233 is hardcoded. This can lead to port conflicts in different environments and makes it difficult to reconfigure the application without changing the code.

Let's externalize this by reading the port from an environment variable, with a fallback to a default value. This is a standard practice for building configurable and portable applications.

Suggested change
port = 1233
port = int(os.getenv('PORT', 1233))

import socket

ClientSocket = socket.socket()
host = '127.0.0.1'
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Warning Confidence Score: 100%

Hardcoded IP Address for Client Connection

I noticed the client is hardcoded to connect to 127.0.0.1. This will only work for local testing and will fail when the client and server are deployed on different machines or in different containers.

Let's make this configurable by reading the target host from an environment variable. This will allow you to point the client to any server (e.g., a staging or production endpoint) without modifying the code.

Suggested change
host = '127.0.0.1'
host = os.getenv('SERVER_HOST', '127.0.0.1')


ClientSocket = socket.socket()
host = '127.0.0.1'
port = 1233
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Warning Confidence Score: 100%

Hardcoded Port Number in Client

I see the client is configured to connect to port 1233, which is hardcoded. This creates a tight coupling with the server's configuration and requires code changes if the server port is ever updated.

Let's externalize this by reading the port from an environment variable, ensuring it stays in sync with the server's configuration.

Suggested change
port = 1233
port = int(os.getenv('SERVER_PORT', 1233))


import hashlib
BLOCKSIZE = 65536 # Block read size if file is big enough
fileToOpen = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
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Warning Confidence Score: 100%

Hardcoded File Path

I've spotted a hardcoded absolute file path here. This path is specific to one user's machine and will cause the script to fail when run in any other environment, such as a CI/CD pipeline, a Docker container, or another developer's machine.

Let's make this script portable by accepting the file path as a command-line argument. This is a much more flexible and robust approach.

import hashlib
BLOCKSIZE = 65536 # Block read size if file is big enough
fileToOpen = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
hasher = hashlib.md5()
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Warning Confidence Score: 100%

Use of Insecure MD5 Hashing Algorithm

I noticed the script is using hashlib.md5(). The MD5 algorithm is considered cryptographically broken and is not suitable for security-sensitive applications due to its vulnerability to hash collisions.

Let's switch to a more secure hashing algorithm like SHA-256. This will provide much stronger guarantees for file integrity checks.

Suggested change
hasher = hashlib.md5()
hasher = hashlib.sha256()

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🔍 Technical Quality Assessment

📋 Summary

This update adds a collection of tools for data organization, security, and basic calculations. While these tools provide new capabilities for handling information, several critical errors were found that could cause the system to crash or produce incorrect results for our users. These issues must be addressed to ensure a reliable and professional experience.

💼 Business Impact

  • What Changed: We have introduced new ways for the system to sort information, store data efficiently, and communicate between different parts of the software. We also added a simple game and a tool to protect text using a secret code.
  • Why It Matters: These tools are the building blocks for faster and more organized software. However, because many of these new tools have 'bugs' (errors), using them right now could lead to lost data, system crashes, or incorrect calculations that might frustrate users or lead to wrong business decisions.
  • User Experience: Users will have access to new features like a 'Guess the Number' game and 'Hangman.' However, they might experience crashes if they type in the wrong thing (like a letter instead of a number) or find that the games don't always let them win even when they are right.

🎯 Purpose & Scope

  • Primary Purpose: New Feature & Utility Addition
  • Scope: Core data processing tools, internal sorting utilities, and communication systems (affects how the system handles, sorts, and shares information)
  • Files Changed: 22 files (22 added, 0 modified, 0 deleted)

📊 Change Analysis

Files by Category:

  • Core Logic: 18 files
  • API/Routes: 0 files
  • Tests: 0 files
  • Configuration: 0 files
  • Documentation: 0 files
  • Others: 4 files

Impact Distribution:

  • High Impact: 3 files
  • Medium Impact: 12 files
  • Low Impact: 7 files

⚠️ Issues & Risks

  • Total Issues: 34 across 19 files
  • Critical Issues: 7
  • Major Issues: 15
  • Minor Issues: 12
  • Technical Risk Level: High

Key Concerns:

  • [FOR DEVELOPERS] Multiple NameErrors and AttributeErrors due to undefined variables and missing None-checks
  • [FOR DEVELOPERS] Potential deadlocks in Pipe communication and infinite recursion in Factorial logic
  • [FOR DEVELOPERS] Broken pointer logic in Doubly Linked List and incorrect win conditions in games

🚀 Recommendations

For Developers:

  • [FOR DEVELOPERS] Priority 1: Fix NameErrors in P01 and AttributeErrors in P31/P33 to prevent immediate crashes
  • [FOR DEVELOPERS] Priority 2: Resolve the infinite recursion in P04 and the deadlock in P42
  • [FOR DEVELOPERS] Priority 3: Implement the suggested O(n log n) logic for Merge Sort and add socket timeouts

For Stakeholders:

  • Delay the use of these new tools in production until the critical 'crash' bugs are resolved
  • Allocate 1-2 weeks for a dedicated 'stabilization' phase to fix the foundational errors identified
  • Ensure a security review is performed on any tool used for file integrity or data encryption

For ProjectManagers:

  • Coordinate a code review focused specifically on 'Edge Cases' (what happens when things go wrong)
  • Update the project timeline to include a testing phase for these new data structures
  • Verify that all new files have corresponding automated tests to prevent these bugs from returning

Click to Expand File Summaries
File Status Description Impact Issues Detected
Test2/P01_hello.py Added ( +28/ -0) Added a new Python script that performs basic arithmetic operations and prints messages. Low – The script is a standalone utility for basic calculations and printing, with minimal impact on the broader system. 1
Test2/P04_Factorial.py Added ( +17/ -0) Added a recursive factorial calculation script with basic input handling. High – The current implementation contains a logic flaw that leads to infinite recursion and a stack overflow when a negative number is provided. 2
Test2/P05_Pattern.py Added ( +112/ -0) Added several functions to print different star patterns and a main block for user interaction. Low – The changes introduce basic pattern printing logic which is primarily for educational or demonstration purposes. 2
Test2/P06_CharCount.py Added ( +18/ -0) Added a script to calculate character frequency in a given string. Low – The script provides basic string processing functionality but contains inefficient dictionary key lookups. 1
Test2/P07_PrimeNumber.py Added ( +23/ -0) Added a Python script to check if a given number is prime. Medium – The script provides a functional prime number checker but contains logical redundancies and potential output duplication for specific inputs. 1
Test2/P20_OsModule.py Added ( +13/ -0) Added a script demonstrating basic os module operations including directory creation and renaming. Medium – The script performs file system operations that could fail if the directory already exists or if renaming targets non-existent files. 1
Test2/P21_GuessTheNumber.py Added ( +24/ -0) A simple 'Guess the Number' game implementation using the random module. Low – This is a standalone script for a game; changes do not affect other parts of the system. 2
Test2/P22_SequentialSearch.py Added ( +23/ -0) Implementation of a sequential search algorithm with iteration counting. Low – Adds a basic search utility. The use of global state for iteration counting may cause issues in concurrent or repeated calls. 1
Test2/P23_BinarySearch.py Added ( +29/ -0) Implementation of a standard binary search algorithm with iteration tracking. Low – The changes provide a functional binary search utility, though the use of global state for iteration counting may cause issues in multi-threaded or imported contexts. 1
Test2/P24_SelectionSort.py Added ( +21/ -0) Implementation of the Selection Sort algorithm in Python. Low – Adds a standard sorting utility function to the codebase. 0
Test2/P25_BubbleSort.py Added ( +24/ -0) Implementation of the Bubble Sort algorithm in Python with a basic test case. Low – Adds a standard sorting utility function. The implementation is functionally correct but uses a non-optimized version of the algorithm. 1
Test2/P26_InsertionSort.py Added ( +25/ -0) Implementation of the Insertion Sort algorithm in Python. Medium – Provides a sorting utility; however, the current implementation contains a logical flaw that can lead to data corruption in specific scenarios. 1
Test2/P27_MergeSort.py Added ( +42/ -0) Implementation of the Merge Sort algorithm including merge and mergeSort functions. Medium – The implementation provides a functional sorting algorithm, but contains a performance bottleneck due to inefficient list manipulations. 1
Test2/P28_QuickSort.py Added ( +65/ -0) Added two implementations of the QuickSort algorithm: a standard in-place version and a more Pythonic list-comprehension based version. Medium – The changes introduce sorting functionality. However, the in-place implementation contains a logic error that will cause incorrect sorting results. 1
Test2/P29_ArgumentParser.py Added ( +21/ -0) Added a Python script demonstrating the use of argparse to handle command-line arguments. Low – The script provides a basic CLI interface for a specific function but has minor logical gaps in user guidance. 1
Test2/P30_Array.py Added ( +107/ -0) Implementation of a custom Array class in Python with basic insertion, deletion, and search operations. Medium – The custom Array class has several logical flaws in its insertion and initialization logic that could lead to data corruption or runtime errors. 4
Test2/P31_SinglyLinkedList.py Added ( +95/ -0) Implementation of a Singly Linked List with basic operations like add, size, search, and remove. Medium – The implementation provides core data structure functionality but contains a critical bug in the remove method that could lead to runtime crashes. 1
Test2/P32_Multithreading_Client.py Added ( +24/ -0) Implementation of a multithreaded TCP client that connects to a local server and exchanges messages in a loop. Medium – The client establishes a connection and enters an infinite loop for communication, but lacks proper resource cleanup and error handling for connection loss. 2
Test2/P32_Mutithreading_Server.py Added ( +38/ -0) Implementation of a multithreaded TCP server using the socket and _thread modules. Medium – The script provides a basic multithreaded server but contains logical flaws in connection handling and resource management that could lead to crashes or resource exhaustion. 3
Test2/P33_DoublyLinkedList.py Added ( +108/ -0) Implementation of a Doubly Linked List with basic operations like insertFirst, insertLast, and remove. Medium – The implementation contains critical logic errors in the insertLast and remove methods that will cause runtime crashes or data corruption. 2
Test2/P34_Stack.py Added ( +58/ -0) Implementation of a Stack data structure with basic operations like push, pop, peek, and size checks. Medium – The changes introduce a core data structure. However, a logic error in the empty check will cause the stack to behave incorrectly during runtime. 1
Test2/P35_NarySearch.py Added ( +81/ -0) Implementation of an N-ary search algorithm to find a key in a large sorted array. High – The algorithm contains several logical flaws in boundary handling and partition logic that will cause it to fail for many keys or crash with index out of bounds errors. 3
Test2/P36_SimpleReaderWriter.py Added ( +41/ -0) Implementation of a simple Reader-Writer synchronization problem using a single Mutex lock. Medium – The code demonstrates a basic synchronization pattern but contains potential runtime errors due to variable scoping and lacks optimal concurrency for multiple readers. 2
Test2/P37_HangmanGame.py Added ( +76/ -0) Implementation of a Hangman game in Python using random word selection and basic input validation. Medium – The changes introduce a functional game, but several logic errors in state management and input handling will cause incorrect behavior during gameplay. 3
Test2/P38_HashingFile.py Added ( +13/ -0) Added a script to calculate the MD5 hash of a file using block reading for efficiency. Medium – Provides a functional utility for file integrity checking, though it uses a cryptographically weak hashing algorithm. 1
Test2/P39_Queue.py Added ( +0/ -0) The file was added but appears to be empty based on the provided diff information. Low – An empty file has no functional impact on the application logic. 0
Test2/P40_CipherText copy.py Added ( +59/ -0) Added a simple Caesar cipher implementation for encryption and decryption of text messages. Medium – The implementation contains logical flaws in the wrapping logic and character handling that will result in incorrect encryption/decryption for certain keys and non-alphabetic characters. 3
Test2/P40_CipherText.py Added ( +59/ -0) Added a Caesar cipher implementation for encrypting and decrypting lowercase English text using a numeric key. Medium – Provides basic cryptographic functionality but contains logical flaws in character wrapping and decryption logic that will result in incorrect output for certain keys. 2
Test2/P41_PortScanner.py Added ( +26/ -0) Added a simple port scanner script that checks for open ports on a given host within the range 1-1023. Medium – The script provides basic port scanning functionality but has significant performance bottlenecks and potential reliability issues due to sequential scanning and lack of timeouts. 2
Test2/P42_MultiprocessingPipes.py Added ( +25/ -0) Added a script demonstrating multiprocessing communication using Pipes. Medium – The script demonstrates inter-process communication but contains a logical flaw that will cause it to hang indefinitely. 1

print("Divide value is:", divide_value)
print("Multiply value is:", multiply_value)
print("Modulus:", increment_value % base_value ) # % -> remainder
print('Addition is:', int(a) + int(b))
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Critical Confidence Score: 100%

Undefined Variable Reference

I noticed that we're trying to use variables a and b in the addition logic, but they haven't been defined anywhere in the function or global scope. This will cause a NameError as soon as the code reaches this line. We should use the variables first_number and second_number that were collected from the user input earlier.

Suggested change
print('Addition is:', int(a) + int(b))
print('Addition is:', int(first_number) + int(second_number))

def factorial(number):
'''This function finds the factorial of the number passed as argument'''
if number < 0:
print('Invalid entry! Cannot find factorial of a negative number')
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Critical Confidence Score: 100%

Infinite Recursion on Negative Input

I noticed that when a negative number is entered, the function prints an error message but continues execution. Since it doesn't return early, it proceeds to the recursive call, leading to a RecursionError (stack overflow). We should return None or raise an exception immediately after detecting a negative input.

Suggested change
print('Invalid entry! Cannot find factorial of a negative number')
return None

if number < 0:
print('Invalid entry! Cannot find factorial of a negative number')
if number == 0 or number == 1:
print("Hello")
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JAS Confidence Score: 100%

JAS - Just a suggestion
Residual Debug Print

It looks like there's a "Hello" print statement left in the base case logic. This appears to be debugging code that might clutter the output for the end user. We should remove it to keep the function's output clean and focused on the result.


'''
# first loop for number of lines
for i in range(level + 1):
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Warning Confidence Score: 100%

Redundant Empty Line in Pattern 5

I noticed that pattern5 prints an extra empty line at the start. This happens because the loop starts at i=0, resulting in range(-1) for stars. We should start the range from 1 to match the intended pattern.

Suggested change
for i in range(level + 1):
for i in range(1, level + 1):

Comment on lines +92 to +112
def pattern6(userInput):
'''
following is the another approach to solve pattern problems with reduced time complexity

for

*
**
***
****
*****
'''

num = userInput
pattern = '*'
string = pattern * num
x = 0

for i in string:
x = x + 1
print(string[0:x])
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Warning Confidence Score: 100%

Nested Function Definition in Main Block

It looks like pattern6 is defined inside the if __name__ == '__main__': block. This makes the function inaccessible if the module is imported elsewhere. Let's move the definition to the top level with the other functions.


print(os.getcwd()) #Prints the current working directory

os.mkdir('newDir1')
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Warning Confidence Score: 100%

Potential FileExistsError

I notice we're calling os.mkdir('newDir1') without checking if the directory already exists. If this script is run a second time, it will crash with a FileExistsError. We should add a check or use exist_ok=True to make this more robust.

Suggested change
os.mkdir('newDir1')
if not os.path.exists('newDir1'):
os.mkdir('newDir1')


def guess():
''' This function guesses the randomnly generated number '''
randomNumber = random.randint(0, 21)
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Warning Confidence Score: 100%

Off-by-One Error in Random Range

I noticed that the random number is generated between 0 and 21, but the user prompt suggests the range is 0 to 20. This means a user could never guess the number 21 if it's generated, leading to a frustrating experience. We should align the generation range with the user instructions.

Suggested change
randomNumber = random.randint(0, 21)
randomNumber = random.randint(0, 20)


while True:
count += 1
number = int(input('Enter the number between 0 to 20: '))
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Warning Confidence Score: 100%

Potential Runtime Crash on Invalid Input

Currently, if a user enters something that isn't a number (like a letter or a blank space), the program will crash with a ValueError. It's a good practice to wrap the input conversion in a try-except block to handle these cases gracefully and keep the game running.

Suggested change
number = int(input('Enter the number between 0 to 20: '))
try:
number = int(input('Enter the number between 0 to 20: '))
except ValueError:
print('Please enter a valid integer.')
continue

Comment on lines +4 to +14
def sequentialSearch(target, List):
'''This function returns the position of the target if found else returns -1'''
position = 0
global iterations
iterations = 0
while position < len(List):
iterations += 1
if target == List[position]:
return position
position += 1
return -1
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Warning Confidence Score: 100%

Global State for Iteration Counting

Using a global variable iterations to track search progress makes the function non-thread-safe and prone to errors if called multiple times without manual resets. It's better to return the count alongside the result or encapsulate it within a class to maintain state properly.

Suggested change
def sequentialSearch(target, List):
'''This function returns the position of the target if found else returns -1'''
position = 0
global iterations
iterations = 0
while position < len(List):
iterations += 1
if target == List[position]:
return position
position += 1
return -1
def sequentialSearch(target, List):
'''This function returns the position and iterations of the target if found else returns -1, iterations'''
position = 0
iterations = 0
while position < len(List):
iterations += 1
if target == List[position]:
return position, iterations
position += 1
return -1, iterations

Comment on lines +8 to +9
global iterations
iterations = 0
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Warning Confidence Score: 85%

State Management Issue: Global Variable Usage

Using global iterations to track the number of steps is risky. If this function is imported into another module or called in a loop, it relies on a global state that might not be initialized or could be overwritten unexpectedly. It's much safer to return the iteration count along with the result or handle it within a class structure to ensure thread safety and modularity.

Reasons & Gaps

Reasons

  1. Global variables create hidden dependencies between functions and the module state.
  2. Makes the function difficult to test in isolation or use in multi-threaded environments.
  3. Violates encapsulation principles by modifying state outside the function's local scope.

Gaps

  1. The current script is a standalone example where global scope side effects are contained.
  2. Python's global keyword behavior is deterministic within the module scope.

Comment on lines +15 to +20
def bubbleSort(List):
for i in range(len(List)):
for j in range(len(List) - 1, i, -1):
if List[j] < List[j - 1]:
List[j], List[j - 1] = List[j - 1], List[j]
return List
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JAS Confidence Score: 100%

JAS - Just a suggestion
Performance Optimization: Missing Early Exit

I notice that this implementation of Bubble Sort always runs in O(n²) time, even if the list becomes sorted early. We can optimize this by adding a flag to check if any swaps occurred during a pass. If no swaps happen, the list is already sorted, and we can exit early. This improves the best-case time complexity to O(n).

Suggested change
def bubbleSort(List):
for i in range(len(List)):
for j in range(len(List) - 1, i, -1):
if List[j] < List[j - 1]:
List[j], List[j - 1] = List[j - 1], List[j]
return List
def bubbleSort(List):
for i in range(len(List)):
swapped = False
for j in range(len(List) - 1, i, -1):
if List[j] < List[j - 1]:
List[j], List[j - 1] = List[j - 1], List[j]
swapped = True
if not swapped:
break
return List

Comment on lines +14 to +19
for j in range(i - 1, -1, -1):
if List[j] > currentNumber :
List[j], List[j + 1] = List[j + 1], List[j]
else:
List[j + 1] = currentNumber
break
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Warning Confidence Score: 90%

Logical Error in Insertion Sort Implementation

I notice a potential logic issue in how the currentNumber is handled. In the if block, we are swapping elements, but in the else block, we explicitly assign currentNumber to List[j + 1]. If the if condition is met and a swap occurs, the value originally in currentNumber is moved, but the variable currentNumber itself isn't updated. This mix of swapping and explicit assignment can lead to incorrect values being placed in the list if the logic isn't consistent. A cleaner approach for Insertion Sort is to shift elements and then place the currentNumber once.

Suggested change
for j in range(i - 1, -1, -1):
if List[j] > currentNumber :
List[j], List[j + 1] = List[j + 1], List[j]
else:
List[j + 1] = currentNumber
break
j = i - 1
while j >= 0 and List[j] > currentNumber:
List[j + 1] = List[j]
j -= 1
List[j + 1] = currentNumber
Reasons & Gaps

Reasons

  1. Standard insertion sort logic involves shifting elements rather than multiple swaps for efficiency.
  2. Mixing swaps with explicit assignments of a cached variable can lead to data duplication or loss.
  3. The current loop structure makes it difficult to ensure the 'currentNumber' is always placed correctly.

Gaps

  1. The current implementation might work for some inputs due to the swap, but it is non-standard and prone to errors.
  2. The interaction between the swap at line 16 and the assignment at line 18 is logically fragile.

Comment on lines +16 to +21
if a[0] < b[0]:
c.append(a[0])
a.remove(a[0])
else:
c.append(b[0])
b.remove(b[0])
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Warning Confidence Score: 100%

Performance Issue: Inefficient List Removal

Using list.remove(a[0]) inside a loop results in O(n) complexity for each removal because Python must shift all subsequent elements. In a merge operation, this turns an O(n) process into O(n²). We should use index tracking or pop(0) (though pop(0) is also O(n)) to maintain the expected O(n log n) performance of Merge Sort.

Suggested change
if a[0] < b[0]:
c.append(a[0])
a.remove(a[0])
else:
c.append(b[0])
b.remove(b[0])
if a[i] < b[j]:
c.append(a[i])
i += 1
else:
c.append(b[j])
j += 1

Comment on lines +57 to +63
List = [3, 4, 2, 6, 5, 7, 1, 9]
start = time.time()
print('Sorted List:',quickSort(List, 0, len(List) - 1))
stop = time.time()
print('Time Required:', (stop - start))
start = time.time()
print('Sorted List:', quicksortBetter(List))
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Warning Confidence Score: 95%

Logic Error in Partitioning

I noticed a small logic error in the partition function. When swapping the pivot into its final position, we're using myList[right]. However, based on the loop conditions, right is the correct index where the pivot should land, but the code currently swaps myList[start] with myList[right]. While this looks correct, the inner loop for right (line 31) uses >= pivot, which can lead to right stopping at an index that doesn't correctly represent the split point if not handled carefully. More importantly, the quickSort call on line 59 passes the original list which is then modified in-place, but the quicksortBetter call on line 63 uses the same list which has already been sorted, making the second benchmark invalid.

Suggested change
List = [3, 4, 2, 6, 5, 7, 1, 9]
start = time.time()
print('Sorted List:',quickSort(List, 0, len(List) - 1))
stop = time.time()
print('Time Required:', (stop - start))
start = time.time()
print('Sorted List:', quicksortBetter(List))
List = [3, 4, 2, 6, 5, 7, 1, 9]
start = time.time()
print('Sorted List:', quickSort(List[:], 0, len(List) - 1))
stop = time.time()
print('Time Required:', (stop - start))
start = time.time()
print('Sorted List:', quicksortBetter(List[:]))
Reasons & Gaps

Reasons

  1. The first sort call modifies the input list in-place because Python lists are mutable
  2. The second sort algorithm receives an already sorted list, skewing performance results
  3. Using a slice [:] creates a copy, ensuring both algorithms start with the same data

Gaps

  1. The partitioning logic itself is a standard Hoare-like partition but the benchmarking logic is flawed due to in-place mutation.
  2. The impact on the sort result depends on the specific pivot selection and list distribution.

if(arg.slowbros):
slowBros()
else:
print('Dude give some arguments! Type ArgumentParser -h for more details')
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JAS Confidence Score: 100%

JAS - Just a suggestion
Misleading Help Message in CLI

I noticed that the error message suggests typing ArgumentParser -h, but the actual script name is P29_ArgumentParser.py. This might confuse users trying to find help. It's better to use %(prog)s or the actual filename to ensure the instructions are accurate.

Suggested change
print('Dude give some arguments! Type ArgumentParser -h for more details')
print(f'Dude give some arguments! Type python {parser.prog} -h for more details')

Comment on lines +61 to +63
for i in range(self.myLen(), index + 1, -1):
self.items[i] = self.items[i - 1]
self.items[index + 1] = element
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Critical Confidence Score: 100%

Potential Out of Bounds in insertAfterIndex

When inserting after an index, we calculate index + 1. If the user provides the last valid index of the array, index + 1 will equal self.size, causing an IndexError because list indices are 0-based.

Suggested change
for i in range(self.myLen(), index + 1, -1):
self.items[i] = self.items[i - 1]
self.items[index + 1] = element
if index + 1 < self.size:
for i in range(self.myLen(), index + 1, -1):
if i < self.size:
self.items[i] = self.items[i - 1]
self.items[index + 1] = element

Comment on lines +78 to +79
Index = self.items.index(element)
self.items[Index] = None
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Warning Confidence Score: 90%

Data Integrity Issue in delete Method

The delete method sets an element to None but doesn't shift subsequent elements. This breaks the assumption in insert methods (which use myLen) that elements are contiguous, leading to data being overwritten during future insertions.

Suggested change
Index = self.items.index(element)
self.items[Index] = None
Index = self.items.index(element)
self.items.pop(Index)
self.items.append(None)
Reasons & Gaps

Reasons

  1. Creating gaps with None breaks the logic of myLen() used in insertion
  2. Subsequent insertions will shift elements into these 'None' slots incorrectly
  3. Leads to a fragmented array where logical length and physical layout mismatch

Gaps

  1. Implementation choice between 'sparse array' vs 'contiguous array' is ambiguous
  2. Current insert logic assumes contiguous, but delete creates a sparse structure

previous = current
current = current.getNext()

if previous == None:
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Critical Confidence Score: 100%

Potential AttributeError in remove method

I noticed a potential crash in the remove method. If the item we're looking for isn't in the list, current will eventually become None. When the loop finishes, the code tries to call current.getNext(), which will raise an AttributeError. We should add a check to ensure the item was actually found before attempting to modify the list pointers.

Suggested change
if previous == None:
if not found:
return
if previous == None:

Comment on lines +18 to +24
while True:
Input = input('Say Something: ')
ClientSocket.send(str.encode(Input))
Response = ClientSocket.recv(1024)
print(Response.decode('utf-8'))

ClientSocket.close()
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Warning Confidence Score: 100%

Potential Resource Leak: Unreachable Socket Closure

I noticed that the ClientSocket.close() call is placed after an infinite while True loop. Since the loop has no break condition, the socket will never be explicitly closed if the program is terminated normally (e.g., via Ctrl+C), which can lead to resource leaks. We should wrap the communication logic in a try-finally block to ensure the socket is always closed.

Suggested change
while True:
Input = input('Say Something: ')
ClientSocket.send(str.encode(Input))
Response = ClientSocket.recv(1024)
print(Response.decode('utf-8'))
ClientSocket.close()
try:
while True:
Input = input('Say Something: ')
ClientSocket.send(str.encode(Input))
Response = ClientSocket.recv(1024)
print(Response.decode('utf-8'))
finally:
ClientSocket.close()

Comment on lines +21 to +22
Response = ClientSocket.recv(1024)
print(Response.decode('utf-8'))
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Critical Confidence Score: 100%

Unchecked Socket Reception

We're calling recv(1024) without checking if the server has closed the connection. In TCP, recv returns an empty string/bytes when the peer closes the connection. If the server disconnects, this client will enter an infinite loop of empty prints or crash on decoding. We should check the response length and break the loop if it's empty.

Suggested change
Response = ClientSocket.recv(1024)
print(Response.decode('utf-8'))
Response = ClientSocket.recv(1024)
if not Response:
print("Connection closed by server.")
break
print(Response.decode('utf-8'))

Comment on lines +25 to +27
data = connection.recv(2048)
reply = 'Server Says: ' + data.decode('utf-8')
if not data:
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Warning Confidence Score: 100%

Potential Runtime Error: Decoding Empty Data

I noticed that we're attempting to decode the data variable before checking if it's empty. If a client disconnects gracefully, recv returns an empty byte string. Attempting to access or process this data before the if not data check can lead to unexpected behavior or errors in more complex logic. It's safer to validate the data first.

Suggested change
data = connection.recv(2048)
reply = 'Server Says: ' + data.decode('utf-8')
if not data:
data = connection.recv(2048)
if not data:
break
reply = 'Server Says: ' + data.decode('utf-8')

Comment on lines +22 to +30
def threaded_client(connection):
connection.send(str.encode('Welcome to the Server\n'))
while True:
data = connection.recv(2048)
reply = 'Server Says: ' + data.decode('utf-8')
if not data:
break
connection.sendall(str.encode(reply))
connection.close()
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Warning Confidence Score: 100%

Resource Leak: Missing Exception Handling for Client Closure

We should wrap the client communication in a try...finally block. Currently, if an exception occurs during recv or sendall (like a connection reset), the connection.close() call at line 30 might be skipped. This would leave the socket open, leading to a resource leak over time as more clients connect.

Suggested change
def threaded_client(connection):
connection.send(str.encode('Welcome to the Server\n'))
while True:
data = connection.recv(2048)
reply = 'Server Says: ' + data.decode('utf-8')
if not data:
break
connection.sendall(str.encode(reply))
connection.close()
def threaded_client(connection):
connection.send(str.encode('Welcome to the Server\n'))
try:
while True:
data = connection.recv(2048)
if not data:
break
reply = 'Server Says: ' + data.decode('utf-8')
connection.sendall(str.encode(reply))
finally:
connection.close()

Comment on lines +32 to +38
while True:
Client, address = ServerSocket.accept()
print('Connected to: ' + address[0] + ':' + str(address[1]))
start_new_thread(threaded_client, (Client, ))
ThreadCount += 1
print('Thread Number: ' + str(ThreadCount))
ServerSocket.close()
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JAS Confidence Score: 100%

JAS - Just a suggestion
Unreachable Code: Server Socket Close

I see that ServerSocket.close() is placed after an infinite while True loop. This means the server socket will never actually be closed gracefully by this script, as the loop never terminates. If we intend to shut down the server, we should handle a KeyboardInterrupt to ensure the port is released properly.

Suggested change
while True:
Client, address = ServerSocket.accept()
print('Connected to: ' + address[0] + ':' + str(address[1]))
start_new_thread(threaded_client, (Client, ))
ThreadCount += 1
print('Thread Number: ' + str(ThreadCount))
ServerSocket.close()
try:
while True:
Client, address = ServerSocket.accept()
print('Connected to: ' + address[0] + ':' + str(address[1]))
start_new_thread(threaded_client, (Client, ))
ThreadCount += 1
print('Thread Number: ' + str(ThreadCount))
except KeyboardInterrupt:
print("\nServer shutting down...")
finally:
ServerSocket.close()


def insertLast(self, data):
newNode = Node(data)
current = self.head
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Critical Confidence Score: 100%

Potential Crash in insertLast on Empty List

I noticed that insertLast assumes the list already has at least one node. If we call this on an empty list, current will be None, and current.getNext() will throw an AttributeError. We should handle the empty list case by calling insertFirst or setting the head directly.

Suggested change
current = self.head
if self.head is None:
self.insertFirst(data)
return
current = self.head

Comment on lines +92 to +95
if previous == None:
self.head = current.getNext()
else:
previous.setNext(current.getNext())
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Critical Confidence Score: 100%

Broken Doubly Linked List Pointers in remove()

In a doubly linked list, when we remove a node, we need to update both the next pointer of the previous node and the previous pointer of the next node. Currently, we're only updating the next pointer, which breaks the integrity of the bidirectional links.

Suggested change
if previous == None:
self.head = current.getNext()
else:
previous.setNext(current.getNext())
if previous == None:
self.head = current.getNext()
if self.head:
self.head.setPrevious(None)
else:
nextNode = current.getNext()
previous.setNext(nextNode)
if nextNode:
nextNode.setPrevious(previous)

high = ARRAY_SIZE
found = 0

if(key < myArray[low] or key > myArray[high - 1]):
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Warning Confidence Score: 95%

Incorrect Range Check

We're checking if the key is greater than myArray[high - 1], but the array actually contains elements up to index high. This means if the user searches for the very last element in the array, the program will incorrectly report it as out of range.

Suggested change
if(key < myArray[low] or key > myArray[high - 1]):
if(key < myArray[low] or key > myArray[high]):
Reasons & Gaps

Reasons

  1. The condition incorrectly excludes the last element of the array from the search
  2. Users searching for the maximum value will receive a false 'out of range' error
  3. Logic fails to account for the inclusive upper bound of the generated array

Gaps

  1. The array initialization loop goes up to ARRAY_SIZE inclusive
  2. high is set to ARRAY_SIZE, making high the last valid index

Comment on lines +9 to +11
myArray = []
for i in range(0, ARRAY_SIZE + 1):
myArray.insert(i, i)
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Warning Confidence Score: 100%

Inefficient Array Insertion

Using insert(i, i) inside a loop to build a large array is quite slow because it can trigger memory reallocations and shifts. Since we're just building a list of sequential numbers, using list(range(...)) or append() is much more efficient and idiomatic.

Suggested change
myArray = []
for i in range(0, ARRAY_SIZE + 1):
myArray.insert(i, i)
myArray = list(range(ARRAY_SIZE + 1))

Comment on lines +29 to +39
for i in range(0, 10):
randomNumber = random.randint(0, 100) #Generate a Random number between 0 to 100
if(randomNumber > 50):
Thread1 = thread.Thread(target = Reader)
Thread1.start()
else:
Thread2 = thread.Thread(target = Writer)
Thread2.start()

Thread1.join()
Thread2.join()
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Critical Confidence Score: 100%

Potential NameError: Undefined Thread Variables

I noticed that Thread1 and Thread2 are defined inside conditional blocks within a loop. If the random logic only triggers one branch (e.g., only Readers are created), the call to .join() for the other variable will crash the program with a NameError. We should track all created threads in a list and join them systematically.

Suggested change
for i in range(0, 10):
randomNumber = random.randint(0, 100) #Generate a Random number between 0 to 100
if(randomNumber > 50):
Thread1 = thread.Thread(target = Reader)
Thread1.start()
else:
Thread2 = thread.Thread(target = Writer)
Thread2.start()
Thread1.join()
Thread2.join()
threads = []
for i in range(0, 10):
randomNumber = random.randint(0, 100)
if(randomNumber > 50):
t = thread.Thread(target = Reader)
else:
t = thread.Thread(target = Writer)
t.start()
threads.append(t)
for t in threads:
t.join()

Comment on lines +14 to +16
lock.acquire() #Acquire the lock before Reading (mutex approach)
print('Shared Data:', x)
lock.release() #Release the lock after Reading
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Warning Confidence Score: 85%

Suboptimal Concurrency: Reader Starvation/Blocking

In this implementation, you're using a single Mutex (Lock) for both readers and writers. This effectively turns the 'Reader-Writer' problem into a 'Single-User' problem where only one person can read at a time. Usually, we want multiple readers to be able to read simultaneously while only blocking for writers. Consider using a Semaphore or a specific Reader-Writer lock pattern if performance is a concern.

Reasons & Gaps

Reasons

  1. Mutex on readers prevents concurrent read access, which is the primary goal of RW patterns
  2. Serializing reads significantly degrades performance in read-heavy workloads
  3. Does not follow the standard solution for the First or Second Reader-Writer problem

Gaps

  1. The script is a 'simple' example where strict mutex might be the intended educational goal
  2. Implementation of a full RWLock requires significantly more boilerplate code

print('_', end = ' ')

# If user has guessed all the letters
if (Counter(letterGuessed) == Counter(word)):
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Critical Confidence Score: 100%

Incorrect Win Condition Logic

I noticed a logic error in how we check if the user has won. Using Counter(letterGuessed) == Counter(word) will fail if the user guesses letters in a different order or if the word has duplicate letters that weren't guessed multiple times. We should check if all unique characters in the word are present in the set of guessed letters instead.

Suggested change
if (Counter(letterGuessed) == Counter(word)):
if all(char in letterGuessed for char in word):

for char in word:
if char in letterGuessed:
print(char, end = ' ')
correct += 1
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Warning Confidence Score: 100%

Incorrect Correct Guess Counter

I see we're incrementing the correct variable inside the loop that prints the word. This will cause the counter to increase every time the word is displayed, regardless of whether the guess was new or correct. Since correct isn't actually used to determine the win state, and the logic is flawed, we should remove this increment or fix the tracking logic.

Suggested change
correct += 1
print(char, end = ' ')

chances -= 1

try:
guess = str(input('Enter a letter to guess: '))
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Warning Confidence Score: 95%

Case Sensitivity Issue in Guesses

I noticed that the game doesn't normalize the input case. If the secret word is 'Apple' and the user guesses 'a', it might not match. To make the game more user-friendly and functionally robust, we should convert both the word and the guess to lowercase.

Suggested change
guess = str(input('Enter a letter to guess: '))
guess = str(input('Enter a letter to guess: ')).lower()
Reasons & Gaps

Reasons

  1. Python string comparison is case-sensitive by default ('A' != 'a')
  2. Users may provide uppercase input which would result in a false negative guess
  3. Ensures consistency between user input and the internal word list

Gaps

  1. The word list provided is all lowercase, but external word lists might vary
  2. Input normalization is a standard practice for character-based games

import hashlib
BLOCKSIZE = 65536 # Block read size if file is big enough
fileToOpen = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
hasher = hashlib.md5()
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Warning Confidence Score: 100%

Security Risk: Use of Weak Hashing Algorithm (MD5)

I notice we're using MD5 to calculate the file hash. While MD5 is fast, it's considered cryptographically broken because it's vulnerable to collision attacks. If this is used for security-critical integrity checks, an attacker could potentially provide a malicious file with the same hash. We should consider using a more secure algorithm like SHA-256 for better protection.

Suggested change
hasher = hashlib.md5()
hasher = hashlib.sha256()

Comment on lines +13 to +16
num += key
if num>25:
num=num%25
num=num-1
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Critical Confidence Score: 100%

Incorrect Wrap-around Logic in Encryption

I noticed a logic error in how the alphabet wrap-around is handled. Using num % 25 and then subtracting 1 will result in incorrect character mapping (e.g., 'z' might not map back to 'a' correctly). We should use the modulo operator on the full alphabet length (26) to ensure a proper circular shift.

Suggested change
num += key
if num>25:
num=num%25
num=num-1
num = (num + key) % 26

Comment on lines +27 to +30
if num>25:
num=num%25
num=num-1
num = num -key
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Critical Confidence Score: 100%

Redundant and Flawed Boundary Check in Decryption

The check if num > 25 inside the decryption function is logically misplaced because LETTERS.find() returns an index between 0-25. Furthermore, the subtraction logic for decryption should handle negative results using modulo 26 to ensure it wraps correctly to the end of the alphabet.

Suggested change
if num>25:
num=num%25
num=num-1
num = num -key
num = (num - key) % 26

Comment on lines +13 to +16
num += key
if num>25:
num=num%25
num=num-1
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Warning Confidence Score: 100%

Incorrect Character Wrapping Logic

I notice a small logic error in how we handle character wrapping when the index exceeds the alphabet length. Using num % 25 and then subtracting 1 will result in incorrect character mapping (e.g., 'z' with key 1 might not wrap to 'a' correctly). We should use the modulo operator with the full length of the alphabet (26) to ensure a clean wrap-around.

Suggested change
num += key
if num>25:
num=num%25
num=num-1
num = (num + key) % 26

Comment on lines +27 to +30
if num>25:
num=num%25
num=num-1
num = num -key
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Warning Confidence Score: 100%

Broken Decryption Logic for Large Keys

I see a potential issue in the decryption function. We're checking if num > 25 before subtracting the key, but find() always returns an index between 0-25. This means the wrapping logic never triggers during decryption, and subtracting the key will result in negative indices. While Python handles negative indices, it won't wrap correctly for keys larger than the character's position. We should use modulo 26 here as well.

Suggested change
if num>25:
num=num%25
num=num-1
num = num -key
num = (num - key) % 26

Comment on lines +10 to +11
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
connection = s.connect_ex((host, port)) #NOTE: connect() needs a tuple!
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Warning Confidence Score: 100%

Performance Issue: Sequential Port Scanning

Scanning ports sequentially from 1 to 1024 using a single thread is extremely slow, especially if the network has high latency or if many ports are filtered. Each connect_ex call waits for a timeout. We should consider using a timeout on the socket to speed up the process or implement multi-threading for concurrent scanning.

Suggested change
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
connection = s.connect_ex((host, port)) #NOTE: connect() needs a tuple!
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.settimeout(0.1)
connection = s.connect_ex((host, port))

def connect(host):
print('Scanning host:', host)
try:
for port in range(1, 1024):
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JAS Confidence Score: 100%

JAS - Just a suggestion
Logic Error: Incomplete Port Range

I notice we're scanning the range (1, 1024), which in Python's range function actually stops at 1023. If the intent was to scan all well-known ports up to and including 1024, we should adjust the range to (1, 1025).

Suggested change
for port in range(1, 1024):
for port in range(1, 1025):

Comment on lines +22 to +23
print(parent.recv()) # Display data received from child (BYE)
print(child.recv()) # Display data received from parent (HELLO)
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Critical Confidence Score: 100%

Potential Deadlock in Pipe Communication

I notice we're calling child.recv() in the main process, but the child end of the pipe was passed to process2. In a multiprocessing.Pipe(), only the end that didn't send the data should be receiving it. Since process2 (childData) is using the child connection to send data, the main process should use the parent connection to receive it. Attempting to receive from the same end that is being used by another process to send (or that has been closed) will cause the program to hang indefinitely.

Suggested change
print(parent.recv()) # Display data received from child (BYE)
print(child.recv()) # Display data received from parent (HELLO)
print(parent.recv()) # Display data received from child (BYE)
print(parent.recv()) # Display data received from parent (HELLO)

@appmod-pr-genie
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Coding Standards Logo Compliance & Security Assessment

🗂️ Test2/P01_hello.py
Coding Standard Violations Citation
Function naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P04_Factorial.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P05_Pattern.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P06_CharCount.py
Coding Standard Violations Citation
Function naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P07_PrimeNumber.py
Coding Standard Violations Citation
Misleading Function Name JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P20_OsModule.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P21_GuessTheNumber.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Misleading Function Name JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P22_SequentialSearch.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P23_BinarySearch.py
Coding Standard Violations Citation
Function naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P24_SelectionSort.py
Coding Standard Violations Citation
Function naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P25_BubbleSort.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P26_InsertionSort.py
Coding Standard Violations Citation
Misleading Function Name JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P27_MergeSort.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Function naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P28_QuickSort.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Function naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P29_ArgumentParser.py
Coding Standard Violations Citation
Function naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P30_Array.py
Coding Standard Violations Citation
Misleading Function Name JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P31_SinglyLinkedList.py
Coding Standard Violations Citation
Misleading Function Name JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P32_Multithreading_Client.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P32_Mutithreading_Server.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P33_DoublyLinkedList.py
Coding Standard Violations Citation
Misleading Function Name JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P34_Stack.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Misleading Function Name JAS Warning Critical View Citation
Function naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P35_NarySearch.py
Coding Standard Violations Citation
Misleading Function Name JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P36_SimpleReaderWriter.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P37_HangmanGame.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P38_HashingFile.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P40_CipherText copy.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P40_CipherText.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P41_PortScanner.py
Coding Standard Violations Citation
Variable naming convention JAS Warning Critical View Citation
Misleading Function Name JAS Warning Critical View Citation
Variable naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

🗂️ Test2/P42_MultiprocessingPipes.py
Coding Standard Violations Citation
Function naming convention JAS Warning Critical View Citation

JAS - Just a suggestion

# Author: OMKAR PATHAK
# This program prints the entered message

def justPrint(text):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Misleading or Vague Function Name

The function name 'justPrint' uses camelCase, which violates Python's snake_case convention. Additionally, the name is vague and doesn't reflect that the function also performs arithmetic and user input operations.

Suggested change
def justPrint(text):
def print_and_calculate_values(text):
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require function names to be in snake_case
  2. The name 'justPrint' is misleading as the function body contains complex logic beyond printing
  3. Descriptive names like 'print_and_calculate_values' improve code maintainability

Gaps

  1. The function's primary intent seems to be a demonstration script rather than a production utility
  2. 'justPrint' might be a legacy name from a developer transitioning from Java/JS

first_number = input("Enter a number: ")
second_number = input("Enter another number: ")
base_value = 10
increment_value=20
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JAS Confidence Score: 100% View Citation

JAS - Just a suggestion
Missing Whitespace Around Operator

According to PEP 8, there should be a single space around the assignment operator to improve readability.

Suggested change
increment_value=20
increment_value = 20

#This program finds the favtorial of the specified numbers
#For example, factorial of 5 = 5*4*3*2*1 = 120

def factorial(number):
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Forbidden Generic Parameter Name

The parameter name 'number' is explicitly listed as a forbidden generic name. Using a more descriptive name like 'input_value' or 'n' (if following mathematical conventions) is preferred.

Suggested change
def factorial(number):
def factorial(n):
Reasons & Gaps

Reasons

  1. The name 'number' is explicitly identified as a forbidden generic name in the coding standard
  2. Generic names reduce semantic clarity regarding the specific type or role of the input
  3. Using 'n' aligns with standard mathematical notation for factorial operations

Gaps

  1. In mathematical contexts, 'number' is often considered a descriptive domain term despite being on the forbidden list
  2. The function name 'factorial' provides significant context that may mitigate the generic nature of the parameter

return number * factorial(number - 1)

if __name__ == '__main__':
userInput = int(input('Enter the Number to find the factorial of: '))
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Incorrect Variable Naming Convention

In Python, variable names should follow the snake_case convention. The current name userInput uses camelCase, which is inconsistent with PEP 8 standards.

Suggested change
userInput = int(input('Enter the Number to find the factorial of: '))
user_input = int(input('Enter the Number to find the factorial of: '))
Reasons & Gaps

Reasons

  1. Python's PEP 8 style guide mandates the use of snake_case for variable and function names
  2. Consistent casing improves code maintainability and follows community-wide expectations
  3. Mixed casing styles within a Python project can lead to confusion and reduced readability

Gaps

  1. Some projects may adopt camelCase for consistency with legacy code or specific internal guidelines
  2. The variable name itself is descriptive, only the casing style is technically a violation



if __name__ == '__main__':
userInput = int(input('Enter the level: '))
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Non-Standard Variable Naming Convention

The variable userInput uses camelCase, which is inconsistent with Python's snake_case convention. Renaming it to user_input improves consistency with PEP 8 standards.

Suggested change
userInput = int(input('Enter the level: '))
user_input = int(input('Enter the level: '))
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) recommend snake_case for variable names
  2. Consistent casing across the codebase reduces cognitive load for developers
  3. Improves alignment with standard Python library naming patterns

Gaps

  1. The variable is functional and descriptive, making this a stylistic refinement rather than a logic error
  2. Project-specific naming conventions might occasionally permit camelCase in specific modules

#Author: OMKAR PATHAK
#This program checks whether the entered number is prime or not

def checkPrime(number):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Boolean-Returning Function Without Prefix

The function returns boolean values (via isPrime) but lacks a standard boolean prefix like is_ or has_. In Python, is_prime is more idiomatic and clearly indicates a boolean return type.

Suggested change
def checkPrime(number):
def is_prime(number):
Reasons & Gaps

Reasons

  1. Function names returning booleans should start with is, has, or can
  2. Improves code predictability by signaling the expected return type
  3. Follows Python PEP 8 naming conventions for boolean-like functions

Gaps

  1. The function currently prints results instead of just returning a boolean
  2. Renaming might require updating all call sites which are visible in this diff


def checkPrime(number):
'''This function checks for prime number'''
isPrime = False
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Variable Naming Convention (Case Style)

The variable isPrime uses camelCase, which is not the standard convention for Python variables. Python variables should use snake_case (e.g., is_prime) to maintain consistency with the language style guide.

Suggested change
isPrime = False
is_prime = False
Reasons & Gaps

Reasons

  1. PEP 8 recommends snake_case for all variable and function names
  2. Consistent casing reduces cognitive load when reading Python code
  3. Avoids mixing naming styles within a single Python module

Gaps

  1. Project-specific style guides might occasionally allow camelCase for consistency
  2. The logic remains functional regardless of the naming casing used

print(number, 'is a Prime Number')

if __name__ == '__main__':
userInput = int(input('Enter a number to check: '))
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Variable Naming Convention (Case Style)

The variable userInput uses camelCase. In Python, the standard naming convention for variables is snake_case. Renaming this to user_input would align with PEP 8 recommendations.

Suggested change
userInput = int(input('Enter a number to check: '))
user_input = int(input('Enter a number to check: '))
Reasons & Gaps

Reasons

  1. Pythonic code uses underscores to separate words in variable names
  2. Improves readability by following the ecosystem's established patterns
  3. Ensures the codebase looks professional and follows language best practices

Gaps

  1. The variable name is descriptive, only the casing style is non-standard
  2. Local script context often sees relaxed naming, though standards still apply

print(os.getcwd()) #Prints the current working directory

os.mkdir('newDir1')
for i in range(1,10):
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JAS Confidence Score: 72% View Citation

JAS - Just a suggestion
Single-Character Loop Variable

While 'i' is common for loop counters, using a more descriptive name like 'directory_index' or 'folder_number' can improve readability in scripts performing file system operations.

Suggested change
for i in range(1,10):
for directory_index in range(1, 10):
Reasons & Gaps

Reasons

  1. Descriptive names clarify the purpose of the loop variable within the logic
  2. Improves maintainability when the loop body involves complex string manipulations
  3. Helps distinguish between multiple nested loops if the script expands in the future

Gaps

  1. Standard 'i' is explicitly exempted for loop counters in the provided coding standard rules
  2. The script is a short illustration where 'i' is contextually understood as an index


def guess():
''' This function guesses the randomnly generated number '''
randomNumber = random.randint(0, 21)
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Variable Naming Convention (camelCase)

In Python, variable names should follow the snake_case convention rather than camelCase. Renaming randomNumber to random_number aligns with PEP 8 standards.

Suggested change
randomNumber = random.randint(0, 21)
random_number = random.randint(0, 21)
Reasons & Gaps

Reasons

  1. Python's PEP 8 style guide explicitly recommends snake_case for variable names
  2. Consistent casing improves code maintainability and follows community standards
  3. camelCase is typically reserved for class names or other languages like Java/JS

Gaps

  1. Project-specific style guides sometimes allow camelCase for consistency with legacy code
  2. The variable name is descriptive despite the casing convention violation


import random

def guess():
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Vague Verb in Function Name

The function name guess consists of a single generic verb. Adding a noun, such as play_guessing_game, makes the function's purpose clearer.

Suggested change
def guess():
def play_guessing_game():
Reasons & Gaps

Reasons

  1. Generic verbs without nouns fail to describe the specific action target
  2. 'play_guessing_game' explicitly communicates the function's role in the application
  3. Descriptive names act as internal documentation for future code maintenance

Gaps

  1. In a small script, a short name like 'guess' might be considered contextually sufficient
  2. The function is the primary logic of the script, making its purpose somewhat obvious

#Author: OMKAR PATHAK
#This program is an example for sequential search

def sequentialSearch(target, List):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Type Prefix in Variable Name

The parameter name 'List' uses a type indicator as a name, which is a form of Hungarian notation. In Python, it is also a built-in type name. Use a descriptive name like 'items' or 'search_list' instead.

Suggested change
def sequentialSearch(target, List):
def sequentialSearch(target, items):
Reasons & Gaps

Reasons

  1. Using 'List' as a variable name shadows the built-in Python list type
  2. Hungarian notation (type prefixes) is discouraged in modern Python development
  3. Descriptive names like 'items' improve clarity regarding the variable's purpose

Gaps

  1. 'List' is a built-in type in Python, making its use as a variable name technically valid but highly discouraged
  2. The context clearly implies a collection, but project-specific naming conventions are unknown

if __name__ == '__main__':
List = [1, 2, 3, 4, 5, 6, 7, 8]
target = 3
ans = sequentialSearch(target, List)
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Non-Standard Abbreviation

The variable name 'ans' is a common but non-standard abbreviation for 'answer'. Expanding it to 'result' or 'position' would improve semantic clarity.

Suggested change
ans = sequentialSearch(target, List)
result = sequentialSearch(target, items)
Reasons & Gaps

Reasons

  1. Expanding 'ans' to 'result' aligns with descriptive naming best practices
  2. Reduces cognitive load by using full words instead of clipped abbreviations
  3. Improves maintainability by providing better context for the variable's role

Gaps

  1. 'ans' is widely understood in mathematical or algorithmic contexts
  2. The scope of the variable is very small, reducing the impact of the abbreviation

#Author: OMKAR PATHAK
#This programs give an example of binary search algorithm

def binarySearch(target, List):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Function Naming Convention Violation

The function name 'binarySearch' uses camelCase, which violates the Python snake_case convention. Additionally, 'List' as a parameter name is a built-in type name and should be more descriptive.

Suggested change
def binarySearch(target, List):
def binary_search(target, sorted_list):
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require function names to be in snake_case
  2. Using 'List' as a parameter name shadows the built-in list type and lacks context
  3. 'binary_search' and 'sorted_list' provide better clarity and follow language standards

Gaps

  1. The function name is technically descriptive of the algorithm being used
  2. camelCase is common in other languages and might be a personal preference of the developer

if __name__ == '__main__':
List = [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14]
target = 2
ans = binarySearch(target, List)
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JAS Confidence Score: 88% View Citation

JAS - Just a suggestion
Cryptic Abbreviation in Variable Name

The variable name 'ans' is a cryptic abbreviation for 'answer' or 'result'. Using a more descriptive name like 'result_index' or 'target_position' improves code clarity.

Suggested change
ans = binarySearch(target, List)
result_index = binary_search(target, sorted_list)
Reasons & Gaps

Reasons

  1. Cryptic abbreviations increase cognitive load when reading logic flow
  2. 'result_index' explicitly describes what the value represents (the index of the target)
  3. Avoids non-standard abbreviations as per enterprise maintainability standards

Gaps

  1. 'ans' is a very common abbreviation in competitive programming or mathematical scripts
  2. The local scope of the variable makes its purpose relatively easy to infer

return List

if __name__ == '__main__':
List = [3, 4, 2, 6, 5, 7, 1, 9]
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Vague Generic Variable Name

The variable name 'List' is too generic and shadows the built-in Python type. A more descriptive name like 'unsorted_numbers' or 'sample_data' would be more expressive.

Suggested change
List = [3, 4, 2, 6, 5, 7, 1, 9]
unsorted_numbers = [3, 4, 2, 6, 5, 7, 1, 9]
Reasons & Gaps

Reasons

  1. 'List' is a functional generic name that lacks semantic meaning about the data
  2. Shadowing built-in types is a poor practice that can cause confusion in larger scopes
  3. Expressive names like 'unsorted_numbers' clarify the intent of the test data

Gaps

  1. In a small script, the variable's purpose is immediately obvious from the assignment
  2. Shadowing 'List' is a technical concern but doesn't break this specific logic


# Best O(n); Average O(n^2); Worst O(n^2)

def insertionSort(List):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Violates Language-Specific Case Convention

In Python, function names should follow the snake_case convention. The current name insertionSort uses camelCase, which is more common in Java or JavaScript.

Suggested change
def insertionSort(List):
def insertion_sort(List):
Reasons & Gaps

Reasons

  1. PEP 8 recommends using lowercase words separated by underscores for function names
  2. Consistent naming conventions improve code maintainability and readability for Python developers
  3. Adhering to language-specific standards reduces cognitive load during code reviews

Gaps

  1. The project might be following a legacy naming convention that overrides PEP 8 standards
  2. The developer might be transitioning from a camelCase-dominant language like Java


# Best O(n); Average O(n^2); Worst O(n^2)

def insertionSort(List):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Forbidden Generic Name

The variable name 'List' is a forbidden generic name and also conflicts with the built-in type list in Python. Using descriptive names like numbers or elements is recommended.

Suggested change
def insertionSort(List):
def insertionSort(items):
Reasons & Gaps

Reasons

  1. 'List' is a generic term that doesn't describe the contents of the collection
  2. Shadowing or mimicking built-in type names can lead to confusion and potential bugs
  3. Descriptive names like 'items' or 'collection' provide better context for the data

Gaps

  1. In very small utility functions, generic names are sometimes tolerated by developers
  2. The variable is used consistently as a list, which might be the developer's justification


# Best = Average = Worst = O(nlog(n))

def merge(a,b):
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Single-Character Parameter Names

The parameters 'a' and 'b' are single-character names which are non-descriptive. Using more expressive names like 'left_half' and 'right_half' improves code readability and maintainability.

Suggested change
def merge(a,b):
def merge(left_half, right_half):
Reasons & Gaps

Reasons

  1. Single-character names fail to convey the purpose or type of data being handled
  2. Descriptive names reduce cognitive load when reading complex algorithmic logic
  3. Standard naming conventions prefer full words over single letters for parameters

Gaps

  1. Single-letter variables are common in mathematical or algorithmic implementations
  2. The context of a merge sort algorithm makes the purpose of these variables relatively clear


def merge(a,b):
""" Function to merge two arrays """
c = []
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Single-Character Variable Name

The variable 'c' is a single-character name. A more descriptive name like 'merged_list' or 'result' would better indicate that this list stores the combined elements.

Suggested change
c = []
merged_list = []
Reasons & Gaps

Reasons

  1. Variable 'c' provides no semantic meaning regarding its role in the merge process
  2. Meaningful names help developers understand the state of the algorithm at a glance
  3. Using 'merged_list' explicitly defines the variable's intent as the output container

Gaps

  1. In short algorithmic functions, single letters are sometimes used for temporary storage
  2. The scope of the variable is very limited within the merge function


# Code for merge sort

def mergeSort(x):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Incorrect Case Convention (camelCase in Python)

Python function names should follow the snake_case convention. Additionally, the parameter 'x' is non-descriptive; consider using 'input_list'.

Suggested change
def mergeSort(x):
def merge_sort(input_list):
Reasons & Gaps

Reasons

  1. PEP 8 explicitly recommends snake_case for function names in Python
  2. Consistency with language standards is vital for shared codebase maintainability
  3. 'input_list' is more descriptive than the generic single-letter parameter 'x'

Gaps

  1. Some developers use camelCase to match naming in other languages like Java
  2. 'x' is a common mathematical placeholder for an unknown input set

return merge(a,b)

if __name__ == '__main__':
List = [3, 4, 2, 6, 5, 7, 1, 9]
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Vague and Capitalized Variable Name

'List' is a generic name that conflicts with the built-in type name (though capitalized). Use a more descriptive, snake_case name like 'unsorted_numbers'.

Suggested change
List = [3, 4, 2, 6, 5, 7, 1, 9]
unsorted_numbers = [3, 4, 2, 6, 5, 7, 1, 9]
Reasons & Gaps

Reasons

  1. Variable names should be lowercase in Python to distinguish them from classes
  2. 'List' is a generic type name and does not describe the content of the data
  3. 'unsorted_numbers' provides clear context for what the data represents in the script

Gaps

  1. The variable is used in a simple main block where context is immediate
  2. Capitalization avoids direct collision with the 'list' keyword but violates style

# Best = Average = O(nlog(n)); Worst = O(n^2
import time

def quickSort(myList, start, end):
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JAS Confidence Score: 92% View Citation

JAS - Just a suggestion
Variable Naming Violation

The parameter name 'myList' uses camelCase and contains a type suffix ('List'). In Python, 'snake_case' is the standard convention, and names should avoid type indicators.

Suggested change
def quickSort(myList, start, end):
def quickSort(items, start, end):
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require snake_case for variables and parameters
  2. Including 'List' in the name is redundant and follows Hungarian notation patterns
  3. 'items' or 'elements' provides better abstraction than referencing the data structure

Gaps

  1. 'myList' is partially descriptive but violates Python's PEP 8 naming conventions
  2. The term 'List' is a type indicator which is discouraged by the standard

# Best = Average = O(nlog(n)); Worst = O(n^2
import time

def quickSort(myList, start, end):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Function Naming Convention

The function name 'quickSort' uses camelCase, which violates the Python snake_case convention. It should be renamed to 'quick_sort' for consistency with language standards.

Suggested change
def quickSort(myList, start, end):
def quick_sort(myList, start, end):
Reasons & Gaps

Reasons

  1. PEP 8 style guide specifies that function names should be lowercase with underscores
  2. Consistent casing improves readability and maintainability for Python developers
  3. 'quick_sort' aligns with standard Python library naming patterns

Gaps

  1. The name is descriptive of the algorithm but violates language-specific casing rules
  2. Project-wide consistency might override this if the codebase is legacy camelCase

done= True
else:
# swap places
temp=myList[left]
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JAS Confidence Score: 88% View Citation

JAS - Just a suggestion
Vague Variable Name

The variable name 'temp' is generic. While common in swap operations, using a more descriptive name like 'temporary_element' or using Pythonic tuple unpacking is preferred.

Suggested change
temp=myList[left]
myList[left], myList[right] = myList[right], myList[left]
Reasons & Gaps

Reasons

  1. Generic names like 'temp' provide low semantic value to the code logic
  2. Python supports atomic swapping which eliminates the need for temporary storage
  3. Reducing intermediate variables simplifies the function's cognitive load

Gaps

  1. 'temp' is a standard idiom for swaps, making it a borderline violation
  2. Python's tuple unpacking makes the 'temp' variable entirely unnecessary

def argumentParser():
parser = argparse.ArgumentParser()
parser.add_argument('-s', '--slowbros', help = 'Names of Slowbros', action = 'store_true')
arg = parser.parse_args()
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JAS Confidence Score: 80% View Citation

JAS - Just a suggestion
Vague Variable Name

The variable name arg is a common abbreviation. Expanding it to args or arguments improves clarity, especially when multiple argument sets might exist.

Suggested change
arg = parser.parse_args()
args = parser.parse_args()
Reasons & Gaps

Reasons

  1. Fully expressive names like 'args' or 'arguments' are preferred over shortened versions
  2. Standardizing on 'args' aligns with common documentation examples for the argparse library
  3. Reduces ambiguity if the script grows to include more complex logic

Gaps

  1. 'arg' is a very common abbreviation in CLI scripts and is often considered acceptable in short functions
  2. The context of 'parser.parse_args()' makes the purpose of 'arg' relatively clear

else:
print('Elements are more than the size specified')

def myLen(self):
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Boolean-Returning Function Without Prefix

The function myLen returns an integer representing a count, but its name is non-standard. If it were intended to return a boolean, it would need a prefix. However, as a length getter, it should follow Pythonic naming conventions like get_length or __len__.

Suggested change
def myLen(self):
def get_length(self):
Reasons & Gaps

Reasons

  1. Function names should clearly indicate the type of data or action performed
  2. 'myLen' is a cryptic abbreviation of 'my length' and lacks a clear verb-noun structure
  3. Standardizing naming improves discoverability and reduces cognitive load for developers

Gaps

  1. The function returns an integer, so the boolean prefix rule (1.2) technically doesn't apply, but the name is still vague
  2. Python's len is the standard protocol for length, but the user defined a custom method

#This example illustrates how an array can be implemened using Python

class Array(object):
def __init__(self, size, defaultValue = None):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Non-Standard Variable Naming (camelCase in Python)

The parameter defaultValue uses camelCase, which is inconsistent with Python's snake_case convention. Renaming it to default_value aligns with PEP 8 and the rest of the Python ecosystem.

Suggested change
def __init__(self, size, defaultValue = None):
def __init__(self, size, default_value = None):
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) specify snake_case for variables and parameters
  2. Consistent casing across the codebase prevents confusion and improves professional quality
  3. 'default_value' is more expressive and follows standard library patterns

Gaps

  1. The variable is functional and descriptive, making this a low-priority style refinement
  2. Some projects may adopt camelCase for consistency with other languages, though rare in Python


def delete(self, element):
if element in self.items:
Index = self.items.index(element)
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JAS Confidence Score: 98% View Citation

JAS - Just a suggestion
Non-Standard Variable Naming (PascalCase for local variable)

The variable Index starts with an uppercase letter, which is typically reserved for class names in Python. Using index or element_index is more appropriate for a local variable.

Suggested change
Index = self.items.index(element)
index = self.items.index(element)
Reasons & Gaps

Reasons

  1. PascalCase is reserved for classes; using it for variables causes semantic confusion
  2. Lowercase 'index' is the standard convention for local variables in Python
  3. Improving casing consistency makes the code easier to scan and maintain

Gaps

  1. The variable name is descriptive, only the casing is non-standard
  2. Local scope limits the impact of this naming inconsistency

Comment on lines +25 to +26
def isEmpty(self):
return self.head == None
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Boolean Function Missing Prefix

Functions that return a boolean value should be prefixed with is_, has_, can_, or should_ to clearly indicate their return type and purpose.

Suggested change
def isEmpty(self):
return self.head == None
def is_empty(self):
return self.head == None
Reasons & Gaps

Reasons

  1. Boolean returning functions require a prefix like 'is_' for clarity
  2. Improves readability by signaling the expected return type to callers
  3. Follows standard Python naming conventions for predicate methods

Gaps

  1. The method name is standard in many data structure implementations
  2. Python convention prefers snake_case over camelCase for method names

return self.head == None

def add(self, element):
temp = Node(element)
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Forbidden Generic Name

The variable name 'temp' is a forbidden generic name. Use a more descriptive name that reflects the object's role, such as 'new_node'.

Suggested change
temp = Node(element)
new_node = Node(element)
Reasons & Gaps

Reasons

  1. 'temp' is explicitly listed as a forbidden generic name in standards
  2. Descriptive names like 'new_node' clarify the variable's intent
  3. Reduces cognitive load when reading data structure manipulation logic

Gaps

  1. 'temp' is widely used in linked list logic for temporary nodes
  2. The scope is very limited, reducing the risk of confusion

Comment on lines +42 to +51
def search(self,item):
current = self.head
found = False
while current != None and not found:
if current.getData() == item:
found = True
else:
current = current.getNext()

return found
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Boolean Function Missing Prefix

This function returns a boolean value but lacks a standard boolean prefix like is_ or has_. Renaming to has_item or is_present is recommended.

Suggested change
def search(self,item):
current = self.head
found = False
while current != None and not found:
if current.getData() == item:
found = True
else:
current = current.getNext()
return found
def has_item(self, item):
Reasons & Gaps

Reasons

  1. Functions returning booleans should use prefixes like 'is_' or 'has_'
  2. 'search' implies finding an object, while the return is a boolean
  3. Prefixing makes the API more intuitive for conditional statements

Gaps

  1. 'search' is a common verb for this action in data structures
  2. The return type is clearly boolean but the verb doesn't imply it


import socket

ClientSocket = socket.socket()
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Variable Naming Convention

The variable name 'ClientSocket' uses PascalCase, which is inconsistent with Python's snake_case convention for variables. Renaming it to 'client_socket' improves consistency and readability.

Suggested change
ClientSocket = socket.socket()
client_socket = socket.socket()
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require variable names to be in snake_case
  2. Consistent casing reduces cognitive load and follows community standards
  3. PascalCase is reserved for class names in Python to avoid confusion

Gaps

  1. PascalCase is sometimes used for global constants, though snake_case is still preferred for variables in Python
  2. The variable is functional and the intent is clear despite the casing violation

except socket.error as e:
print(str(e))

Response = ClientSocket.recv(1024)
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Variable Naming Convention

The variable name 'Response' uses PascalCase. In Python, variables should follow the snake_case convention (e.g., 'response') to align with standard style guides.

Suggested change
Response = ClientSocket.recv(1024)
response = client_socket.recv(1024)
Reasons & Gaps

Reasons

  1. PEP 8 recommends snake_case for all variable and function names
  2. Using PascalCase for variables can lead to confusion with class definitions
  3. Standardizing naming styles across the codebase improves long-term maintainability

Gaps

  1. The variable name is descriptive of its content, only the casing is non-standard
  2. Local scope usage makes the impact on maintainability relatively low


Response = ClientSocket.recv(1024)
while True:
Input = input('Say Something: ')
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JAS Confidence Score: 92% View Citation

JAS - Just a suggestion
Variable Naming Convention

The variable name 'Input' uses PascalCase and shadows the built-in 'input' function name (case-insensitively). Using 'user_input' is more idiomatic and avoids potential confusion.

Suggested change
Input = input('Say Something: ')
user_input = input('Say Something: ')
Reasons & Gaps

Reasons

  1. Variable names should be lowercase with words separated by underscores
  2. Avoid naming variables similarly to built-in functions to prevent developer error
  3. 'user_input' provides better semantic clarity than the generic 'Input'

Gaps

  1. While 'Input' (capitalized) doesn't technically shadow the lowercase 'input' builtin, it is visually confusing
  2. The context of the loop makes the purpose of the variable obvious

def __init__(self):
self.head = None

def isEmpty(self):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Boolean Function Prefix Missing

Functions returning boolean values should be prefixed with is_, has_, can_, or should_. In Python, is_empty is the standard naming convention for this logic.

Suggested change
def isEmpty(self):
def is_empty(self):
Reasons & Gaps

Reasons

  1. Boolean functions require a prefix like 'is_' to clarify return type
  2. Improves readability by signaling the function returns a truth value
  3. Aligns with Python naming conventions for predicate functions

Gaps

  1. The current name 'isEmpty' is common in other languages like Java
  2. The logic is perfectly clear despite the missing prefix

self.next = Next
self.previous = Previous

def getNext(self):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Python Naming Convention Violation

Method names in Python should follow the snake_case convention. 'getNext' should be renamed to 'get_next' to align with PEP 8 standards.

Suggested change
def getNext(self):
def get_next(self):
Reasons & Gaps

Reasons

  1. PEP 8 specifies that function and method names should be lowercase
  2. Words in names should be separated by underscores to improve clarity
  3. Consistent casing reduces cognitive load during code reviews

Gaps

  1. CamelCase is often used by developers coming from Java/C++ backgrounds
  2. The function purpose is clear despite the casing style

#This program illustrates an example of singly linked list

class Node(object):
def __init__(self, data, Next = None, Previous = None):
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JAS Confidence Score: 88% View Citation

JAS - Just a suggestion
Non-Standard Parameter Casing

Parameters 'Next' and 'Previous' use PascalCase, which is unconventional for Python arguments. Using lowercase 'next_node' or 'previous_node' is more idiomatic.

Suggested change
def __init__(self, data, Next = None, Previous = None):
def __init__(self, data, next_node = None, previous_node = None):
Reasons & Gaps

Reasons

  1. Python parameters should be lowercase to distinguish from classes
  2. PascalCase for arguments violates standard Python style guidelines
  3. Using descriptive names like 'next_node' avoids shadowing built-ins

Gaps

  1. Parameter names are understandable even with unconventional casing
  2. 'next' is a built-in Python function, so 'next_node' is preferred over 'next'

def getData(self):
return self.data

def setData(self, newData):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Python Naming Convention Violation

Method names and parameters should use snake_case. 'setData' and 'newData' should be 'set_data' and 'new_data' respectively.

Suggested change
def setData(self, newData):
def set_data(self, new_data):
Reasons & Gaps

Reasons

  1. Standardizes method naming across the Python codebase
  2. Follows PEP 8 recommendations for function and variable names
  3. Improves visual consistency with other snake_case elements

Gaps

  1. The setter pattern is clear but the naming style is non-idiomatic
  2. Project-specific conventions might allow camelCase for consistency


class Stack(object):
def __init__(self, size):
self.index = []
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Vague Variable Name

The variable name 'index' is vague in the context of a Stack implementation. Since it stores the actual elements of the stack, a more descriptive name like 'items' or 'elements' is recommended.

Suggested change
self.index = []
self.items = []
Reasons & Gaps

Reasons

  1. 'index' usually refers to a position in a list, not the list container itself
  2. Using 'items' or 'elements' clearly communicates that the variable holds the stack data
  3. Improves maintainability by aligning variable names with their functional purpose

Gaps

  1. The term 'index' might be a specific internal naming choice by the developer
  2. In very small classes, generic names are sometimes tolerated if the scope is narrow

else:
print('Stack is already empty!')

def isEmpty(self):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Boolean Function Missing Prefix

Functions that return a boolean value should be prefixed with 'is_', 'has_', or 'can_'. In Python, 'is_empty' is the idiomatic snake_case naming convention for this check.

Suggested change
def isEmpty(self):
def is_empty(self):
Reasons & Gaps

Reasons

  1. Boolean-returning functions require a prefix to clarify they are predicates
  2. Python convention (PEP 8) dictates snake_case for function and method names
  3. Standardizing naming patterns reduces cognitive load during code reviews

Gaps

  1. CamelCase is sometimes used in Python projects following legacy or Java-like styles
  2. The function name is technically understandable despite the missing prefix and case style

''' Checks whether the stack is empty '''
return len(self.index) == []

def isFull(self):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Incorrect Case Convention

Python methods should use snake_case. Additionally, while 'is' is present, 'is_full' is the standard naming convention for boolean checks in Python.

Suggested change
def isFull(self):
def is_full(self):
Reasons & Gaps

Reasons

  1. Violates PEP 8 naming convention which requires snake_case for methods
  2. Consistent naming across the class improves readability and professional quality
  3. Helps distinguish between standard methods and framework-specific overrides

Gaps

  1. The 'is' prefix is present, satisfying the boolean prefix requirement partially
  2. Project-specific style guides might allow camelCase for consistency with other languages

else:
print('Stack is already empty!')

def stackSize(self):
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JAS Confidence Score: 88% View Citation

JAS - Just a suggestion
Non-Standard Method Naming

The method name 'stackSize' uses camelCase, which is not idiomatic in Python. It should be renamed to 'get_size' or 'size' using snake_case.

Suggested change
def stackSize(self):
def get_size(self):
Reasons & Gaps

Reasons

  1. Python naming conventions require snake_case for all function and method names
  2. Including 'stack' in the method name is redundant as it is a method of the Stack class
  3. 'get_size' or 'size' is more concise and follows standard object-oriented patterns

Gaps

  1. 'stackSize' is descriptive, so the violation is primarily stylistic (case convention)
  2. Some developers prefer including the class name in methods, though it is redundant

ARRAY_SIZE = 10000000 # Size of our array
DIVISIONS = 10 # N-ary count

def Main():
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Violates Language-Specific Case Convention

In Python, function names should follow the snake_case convention. The current name 'Main' uses PascalCase, which is typically reserved for class names in Python.

Suggested change
def Main():
def main():
Reasons & Gaps

Reasons

  1. Python's PEP 8 style guide explicitly requires snake_case for function names
  2. PascalCase for functions can be confused with class constructors by other developers
  3. Consistency with language standards improves codebase maintainability and readability

Gaps

  1. 'Main' is a common entry point name in other languages like Java or C#
  2. The developer might be following a personal style rather than PEP 8 standards

DIVISIONS = 10 # N-ary count

def Main():
myArray = []
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Vague but Functional Generic Name

The variable name 'myArray' is generic and includes the data type in the name. A more descriptive name like 'search_array' or 'numbers_list' would better reflect its purpose in the N-ary search logic.

Suggested change
myArray = []
search_array = []
Reasons & Gaps

Reasons

  1. Including the type 'Array' in the name is redundant and violates clean code principles
  2. 'myArray' does not describe the content or the role of the data being stored
  3. Descriptive names reduce cognitive load when reading complex algorithmic logic

Gaps

  1. 'myArray' is functional and common in educational or algorithm demonstration code
  2. The context of a search algorithm makes the purpose of the array relatively clear

for i in range(0, 10):
randomNumber = random.randint(0, 100) #Generate a Random number between 0 to 100
if(randomNumber > 50):
Thread1 = thread.Thread(target = Reader)
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JAS Confidence Score: 92% View Citation

JAS - Just a suggestion
Non-Standard Case Convention

Variable names in Python should use snake_case. Thread1 should be renamed to thread_1 or a more descriptive name to follow PEP 8.

Suggested change
Thread1 = thread.Thread(target = Reader)
reader_thread = thread.Thread(target = Reader)
Reasons & Gaps

Reasons

  1. PascalCase is reserved for Class names in Python per PEP 8 guidelines
  2. Using snake_case for instances prevents confusion with class definitions
  3. Descriptive names like 'reader_thread' clarify the thread's specific role

Gaps

  1. PascalCase is sometimes used for instances to mirror class names
  2. The numbering '1' is functional but less descriptive than 'reader_thread'

import random
from collections import Counter

someWords = '''apple banana mango strawberry orange grape pineapple apricot lemon coconut watermelon
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
Non-Standard Variable Naming

The variable name 'someWords' uses camelCase, which is non-standard for Python variables. Following PEP 8, it should be renamed to 'fruit_list' or 'word_list' using snake_case to be more descriptive and idiomatic.

Suggested change
someWords = '''apple banana mango strawberry orange grape pineapple apricot lemon coconut watermelon
fruit_list = '''apple banana mango strawberry orange grape pineapple apricot lemon coconut watermelon
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require snake_case for variable names
  2. 'fruit_list' provides better semantic clarity regarding the contents of the string
  3. Consistent naming styles improve maintainability across the Python ecosystem

Gaps

  1. The variable name is functional and understandable in the local context of a small script
  2. 'someWords' is partially descriptive but lacks the specific domain context of 'fruits'

print()

playing = True
letterGuessed = ''
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JAS Confidence Score: 92% View Citation

JAS - Just a suggestion
Non-Standard Variable Naming

The variable 'letterGuessed' uses camelCase. In Python, variables should follow the snake_case convention. Renaming it to 'guessed_letters' would be more idiomatic and descriptive of the collection.

Suggested change
letterGuessed = ''
guessed_letters = ''
Reasons & Gaps

Reasons

  1. Adheres to PEP 8 standards which recommend snake_case for all variable names
  2. 'guessed_letters' (plural) better represents that the string accumulates multiple characters
  3. Improves code consistency with standard Python library and community practices

Gaps

  1. The variable name is clear in its intent despite the casing violation
  2. Small script scope makes the impact of non-standard naming relatively low


if __name__ == '__main__':
print('Guess the word! HINT: word is a name of a fruit')
for i in word:
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Single-Character Variable Name

The variable 'i' is used to iterate over characters in a word. While 'i' is acceptable for integer indices, using 'char' or 'letter' is more descriptive when iterating over a string's content.

Suggested change
for i in word:
for letter in word:
Reasons & Gaps

Reasons

  1. Descriptive names for loop variables improve readability of the loop body
  2. 'letter' explicitly defines the data type and purpose within the fruit-word context
  3. Avoids confusion with standard integer index counters typically represented by 'i'

Gaps

  1. Single letters are often used in short loops, though usually reserved for integers
  2. The context of the loop is very small, making the purpose of 'i' immediately obvious


import hashlib
BLOCKSIZE = 65536 # Block read size if file is big enough
fileToOpen = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Non-Standard Variable Naming (camelCase in Python)

The variable name 'fileToOpen' uses camelCase, which is not the standard convention for Python. Following PEP 8, variable names should use snake_case to maintain consistency with the Python ecosystem.

Suggested change
fileToOpen = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
file_to_open = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) prescribe snake_case for variable names
  2. Consistent casing improves code maintainability and readability for Python developers
  3. camelCase is typically reserved for other languages like Java or JavaScript

Gaps

  1. Project-specific style guides might occasionally override PEP 8 for legacy compatibility
  2. The variable name is descriptive, only the casing style is technically non-compliant

BLOCKSIZE = 65536 # Block read size if file is big enough
fileToOpen = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
hasher = hashlib.md5()
with open(fileToOpen, 'rb') as afile:
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Vague Variable Name

The variable name 'afile' is somewhat generic. Using a more descriptive name like 'input_file' or 'target_file' clarifies the role of the file object within the context of the hashing operation.

Suggested change
with open(fileToOpen, 'rb') as afile:
with open(file_to_open, 'rb') as input_file:
Reasons & Gaps

Reasons

  1. 'afile' is a generic name that adds little semantic value to the code
  2. Descriptive names like 'input_file' better communicate the variable's purpose
  3. Enhancing name clarity reduces cognitive load when reading the file operations

Gaps

  1. 'afile' is a common short-hand in small scripts and is partially descriptive
  2. The scope of the variable is limited to the 'with' block, reducing ambiguity

fileToOpen = '/home/omkarpathak/Documents/GITs/Python-Programs/Scripts/howto.txt'
hasher = hashlib.md5()
with open(fileToOpen, 'rb') as afile:
buf = afile.read(BLOCKSIZE)
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JAS Confidence Score: 80% View Citation

JAS - Just a suggestion
Non-Standard Abbreviation

The variable 'buf' is a common abbreviation for 'buffer'. Expanding it to 'buffer' or 'data_block' improves readability and follows the preference for fully expressive names.

Suggested change
buf = afile.read(BLOCKSIZE)
buffer = input_file.read(BLOCKSIZE)
Reasons & Gaps

Reasons

  1. Standardizing on full words like 'buffer' prevents non-standard abbreviation use
  2. Expressive names help distinguish between different types of data containers
  3. Aligning with 'buffer' makes the code more accessible to junior developers

Gaps

  1. 'buf' is a widely recognized technical abbreviation in low-level I/O operations
  2. Some developers prefer short names for temporary buffers in tight loops

def encrypt(message, key):
''' This function lets you to encrypt your message based on a key '''
encrypted = ''
for chars in message:
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Non-Standard Abbreviation in Variable Name

The variable name 'chars' uses a plural form for a single character iteration. Using 'char' or 'character' is more precise and follows standard naming conventions.

Suggested change
for chars in message:
for char in message:
Reasons & Gaps

Reasons

  1. Using plural names for single items in a loop can cause confusion about the variable type
  2. 'char' is the standard technical abbreviation for a single character in most languages
  3. Improving naming consistency reduces cognitive load during code reviews

Gaps

  1. 'chars' is a common pluralization and might be considered acceptable by some teams
  2. The context of iterating over a string makes the purpose of the variable clear despite the naming

encrypted = ''
for chars in message:
if chars in LETTERS:
num = LETTERS.find(chars)
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JAS Confidence Score: 80% View Citation

JAS - Just a suggestion
Vague Variable Name

The variable name 'num' is generic. A more descriptive name like 'letter_index' or 'char_position' would better reflect that this value represents a position within the alphabet.

Suggested change
num = LETTERS.find(chars)
letter_index = LETTERS.find(chars)
Reasons & Gaps

Reasons

  1. 'num' does not convey the semantic meaning of the value being an alphabet index
  2. Descriptive names help distinguish between different numeric values in the same scope
  3. 'letter_index' explicitly identifies the relationship between the variable and the LETTERS string

Gaps

  1. 'num' is technically accurate as it holds an integer index
  2. In short algorithmic blocks, generic names for indices are sometimes tolerated

def main():
message = str(input('Enter your message: '))
key = int(input('Enter you key [1 - 26]: '))
choice = input('Encrypt or Decrypt? [E/D]: ')
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JAS Confidence Score: 75% View Citation

JAS - Just a suggestion
Vague Variable Name

The variable 'choice' is functional but generic. Renaming it to 'operation_mode' or 'user_action' provides better context regarding what the user is choosing.

Suggested change
choice = input('Encrypt or Decrypt? [E/D]: ')
operation_mode = input('Encrypt or Decrypt? [E/D]: ')
Reasons & Gaps

Reasons

  1. 'operation_mode' describes the intent of the variable within the cipher logic
  2. Generic names like 'choice' can become ambiguous as the complexity of the main function grows
  3. Specific naming aligns better with domain-relevant terminology for application flow

Gaps

  1. 'choice' is a very common name for user input variables in simple scripts
  2. The prompt string immediately following the variable makes the context obvious


import socket,sys

def connect(host):
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JAS Confidence Score: 80% View Citation

JAS - Just a suggestion
Vague Verb in Function Name

The function name 'connect' is a generic verb that doesn't fully describe the action. Since it performs a port scan, a name like 'scan_ports' or 'check_host_ports' is more appropriate.

Suggested change
def connect(host):
def scan_ports(host):
Reasons & Gaps

Reasons

  1. Generic verbs like 'connect' lack the specific noun required for clarity
  2. 'scan_ports' explicitly defines the function's intent to iterate over multiple ports
  3. Improved naming acts as internal documentation for the script's behavior

Gaps

  1. The function name is technically accurate as it attempts to connect to ports
  2. Context within a port scanner script makes the purpose relatively clear

print('Couldn\'t connect to Server')

if __name__ == '__main__':
userInput = input('Enter the Server address(URL) to check for open ports: ')
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Language-Specific Case Convention Violation

In Python, variable names should follow the snake_case convention. 'userInput' uses camelCase, which is inconsistent with PEP 8 standards.

Suggested change
userInput = input('Enter the Server address(URL) to check for open ports: ')
user_input = input('Enter the Server address(URL) to check for open ports: ')
Reasons & Gaps

Reasons

  1. PEP 8 explicitly recommends snake_case for variable and function names in Python
  2. Consistent casing prevents confusion when integrating with other Python libraries
  3. Adhering to language idioms is a core part of professional software development

Gaps

  1. CamelCase is functional and common for developers coming from Java/JavaScript backgrounds
  2. The variable name itself is descriptive and clear despite the casing style


if __name__ == '__main__':
userInput = input('Enter the Server address(URL) to check for open ports: ')
remoteServerIP = socket.gethostbyname(userInput)
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Language-Specific Case Convention Violation

The variable 'remoteServerIP' uses camelCase and contains an uppercase abbreviation 'IP'. Python standards prefer snake_case like 'remote_server_ip'.

Suggested change
remoteServerIP = socket.gethostbyname(userInput)
remote_server_ip = socket.gethostbyname(user_input)
Reasons & Gaps

Reasons

  1. Snake_case is the standard convention for Python variables to ensure readability
  2. Mixing casing styles (camelCase vs snake_case) makes the codebase harder to scan
  3. Standardizing on 'remote_server_ip' aligns with the Python ecosystem's best practices

Gaps

  1. 'IP' is a standard technical abbreviation and often kept uppercase in many styles
  2. The name is highly descriptive and unlikely to cause functional issues


from multiprocessing import Process, Pipe

def parentData(parent):
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Non-Descriptive Function Name

The function name 'parentData' is vague and uses camelCase, which is not idiomatic for Python. A more descriptive name like 'send_parent_data' or 'handle_parent_pipe_communication' in snake_case would better reflect its purpose.

Suggested change
def parentData(parent):
def send_parent_data(parent):
Reasons & Gaps

Reasons

  1. Function names should explicitly state the action performed using a verb-noun pattern
  2. Python convention (PEP 8) requires snake_case for function and variable names
  3. 'parentData' does not clearly communicate that it sends data through a pipe

Gaps

  1. The function name is partially descriptive but lacks a clear verb indicating action
  2. Project-specific naming conventions might allow camelCase, though PEP 8 discourages it

parent.send(['Hello'])
parent.close()

def childData(child):
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Non-Descriptive Function Name

The function name 'childData' is vague and uses camelCase. Renaming it to 'send_child_data' using snake_case would improve clarity and follow Python naming standards.

Suggested change
def childData(child):
def send_child_data(child):
Reasons & Gaps

Reasons

  1. Descriptive names reduce cognitive load by explaining the function's intent
  2. Standardizing on snake_case ensures consistency with the Python ecosystem
  3. 'send_child_data' explicitly defines the operation being performed on the pipe

Gaps

  1. The name is contextually understandable within this small script but lacks a strong verb
  2. Naming consistency with the previous function is maintained but both are non-standard

@appmod-pr-genie
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Appmod Quality Check: FAILED❌

Quality gate failed - This pull request requires attention before merging.

📊 Quality Metrics

Metric Value Status
Quality Score 45%
Issues Found 34
CS Violations 80 ⚠️
Risk Level High

🎯 Assessment

Action required - Please address the identified issues before proceeding.

📋 View Detailed Report for comprehensive analysis and recommendations.


Automated by Appmod Quality Assurance System

@Sindhu1702013 Sindhu1702013 merged commit 78c74b4 into master Feb 17, 2026
1 of 4 checks passed
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