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Functional AssessmentVerdict: ❌ Incomplete
🧠 User Story ID: FILE-001-A — File Management📝 Feature CompletenessThe Requirement was.. The system must successfully identify, handle, and manage a total of 36 distinct files, ensuring backend storage, integrity, and error handling for missing files. This is what is built... The PR contains 26 Python files involving various algorithms and utilities, but fails to meet the specific requirement of managing 36 files as a cohesive system feature. 📊 Implementation Status
❌ Gaps & Issues
🎯 Conclusion & Final AssessmentImportant 🟢 Completed Features: Key completed features include none. While 26 individual Python scripts were uploaded covering various programming concepts (sorting, math, utilities), they do not constitute the requested file management system. |
⚙️ DevOps and Release Automation🟢 Status: Passed🌟 Excellent work! Your code passed the DevOps review. Some improvements are suggested which will greatly improve the reliability of your infrastructure. 🟡 Recommended Improvements
🎯 Conclusion
Important Please carefully assess each DevOps and migration violation's impact before proceeding to ensure smooth transitions between environments. |
![appmod-pr-genie[bot]](https://avatars.githubusercontent.com/u/178300120?s=60&v=4){kind=small}
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| def log(number): | ||
| ''' This function creates a log file if any error is reported ''' | ||
| logging.basicConfig(filename = 'P18-logfile.txt', level = logging.INFO) |
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Hardcoded Log File Path
I noticed the log file path is hardcoded to 'P18-logfile.txt'. This can create operational issues in containerized or managed environments where the filesystem might be read-only or ephemeral. It also makes it difficult to manage log locations across different environments (dev, staging, prod).
Let's externalize this configuration. The best practice is to either log to stdout/stderr for collection by a logging agent (like Fluentd or Logstash) or make the file path configurable via an environment variable.
| logging.basicConfig(filename = 'P18-logfile.txt', level = logging.INFO) | |
| log_file = os.getenv('LOG_FILE_PATH', 'P18-logfile.txt') | |
| logging.basicConfig(filename=log_file, level=logging.INFO) |
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| # For installation: sudo pip3 install pycrypto | ||
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| from Crypto.PublicKey import RSA |
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Deprecated and Insecure Crypto Library
I see you're using the pycrypto library for encryption. It's important to know that this library is deprecated, no longer maintained, and has known security vulnerabilities. Using it can expose your application to significant security risks.
Let's migrate to a modern, actively maintained library. The recommended replacement is pycryptodome. It's a drop-in replacement for pycrypto in most cases, so the code changes should be minimal. You would just need to update your dependency management.
| from Crypto.PublicKey import RSA | |
| from Cryptodome.PublicKey import RSA | |
| from Cryptodome import Random |
| randomGenerator = Random.new().read | ||
| # Generating a private key and a public key | ||
| # key stores both the keys | ||
| key = RSA.generate(1024, randomGenerator) # 1024 is the size of the key in bits |
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Insecure RSA Key Size
I noticed the RSA key is being generated with a size of 1024 bits. This key length is no longer considered secure against modern cryptanalytic attacks and is deprecated by standards bodies like NIST.
Let's increase the key size to a more secure length. The current industry recommendation is a minimum of 2048 bits, with 4096 bits being preferred for long-term security.
| key = RSA.generate(1024, randomGenerator) # 1024 is the size of the key in bits | |
| key = RSA.generate(2048, randomGenerator) # 1024 is the size of the key in bits |
🔍 Technical Quality Assessment📋 SummaryThis update adds several new calculation tools and educational scripts to our collection. However, we have identified critical security flaws in the new encryption tool and several logic errors in the math functions that could cause the system to crash or give wrong answers to users. These must be fixed before the new features are released to customers. 💼 Business Impact
🎯 Purpose & Scope
📊 Change AnalysisFiles by Category:
Impact Distribution:
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| File | Status | Description | Impact | Issues Detected |
|---|---|---|---|---|
Test2/P01_hello copy.py |
Added ( +28/ -0) | Added a new Python script that performs basic arithmetic operations and prints messages based on user input. | Low – The script is a standalone utility for basic calculations and does not affect core system functionality. | 1 |
Test2/P02_VariableScope.py |
Added ( +16/ -0) | Added a script demonstrating Python variable scope rules (LEGB). | Low – This is an educational script and does not affect core application logic. | 0 |
Test2/P03_ListsOperations.py |
Added ( +48/ -0) | Added a Python script demonstrating various list operations including slicing, appending, sorting, popping, removing, inserting, counting, extending, and reversing. | Low – This is an educational or utility script demonstrating basic Python list manipulations. It does not affect core application logic but serves as a reference. | 1 |
Test2/P05_Pattern.py |
Modified ( +1/ -1) | Changed the source of the 'num' variable from a function parameter to a direct user input call within the function body. | High – This change breaks the function's modularity and makes the 'userInput' parameter redundant, while also introducing potential runtime errors if non-integer input is provided. | 1 |
Test2/P08_Fibonacci.py |
Added ( +24/ -0) | Added a script to calculate Fibonacci series using both recursive and iterative approaches. | Medium – The script provides two methods for Fibonacci calculation, but the recursive approach has significant performance limitations for larger inputs. | 2 |
Test2/P09_Factorial.py |
Added ( +22/ -0) | Added a script to calculate the factorial of a number using both recursive and iterative methods. | Medium – The script provides core mathematical logic but contains functional bugs in the iterative implementation and lacks input validation for negative numbers. | 3 |
Test2/P10_LCM.py |
Added ( +19/ -0) | Added a script to calculate the Least Common Multiple (LCM) of two user-provided numbers. | Medium – The script provides a functional LCM calculator but contains a logic flaw that causes a crash when one of the inputs is zero. | 1 |
Test2/P11_BinaryToDecimal.py |
Added ( +17/ -0) | Added a script to convert binary numbers to their decimal equivalents using a mathematical approach. | Medium – Provides a functional utility for binary-to-decimal conversion but lacks validation for non-binary inputs. | 1 |
Test2/P12_DecimalToBinary.py |
Added ( +13/ -0) | Added a recursive function to convert decimal numbers to binary and a main execution block for user input. | Medium – Provides a functional utility for decimal-to-binary conversion but lacks robust error handling for non-integer inputs. | 1 |
Test2/P13_Palindrome.py |
Added ( +14/ -0) | Added a Python script to check if a given string is a palindrome. | Low – The script provides basic palindrome checking functionality but lacks normalization for case and non-alphanumeric characters. | 1 |
Test2/P14_CheckGreater.py |
Added ( +15/ -0) | Added a script to check if a user-provided number is greater than all elements in a predefined list. | Low – The script provides a simple utility for numerical comparison against a static list. | 1 |
Test2/P15_Arguments.py |
Added ( +17/ -0) | Added a script to demonstrate command-line argument handling using the sys module. | Low – The script provides a basic demonstration of sys.argv but has a logic flaw in its error handling message. | 1 |
Test2/P16_CountVowels.py |
Added ( +17/ -0) | Added a Python script to count vowels in a user-provided string. | Low – This is a standalone utility script with no external dependencies or complex logic. | 0 |
Test2/P17_EvenOdd.py |
Added ( +19/ -0) | Added a script to separate a list of space-separated numbers into even and odd categories. | Low – The script provides basic utility for number sorting but lacks robust error handling for non-numeric inputs. | 1 |
Test2/P18_Logging.py |
Added ( +22/ -0) | Added a script to demonstrate basic logging and error handling in Python. | Low – This is a standalone utility script for logging demonstration and does not affect core application logic. | 2 |
Test2/P19_SimpleStopWatch.py |
Added ( +45/ -0) | Added a simple stopwatch script that uses keyboard interrupts to stop timing. | Medium – The script provides a basic stopwatch functionality but contains a logic flaw where the start time is reset on every Enter press, making it impossible to use as a continuous timer. | 1 |
Test2/P21_GuessTheNumber.py |
Deleted ( +0/ -24) | The file 'Test2/P21_GuessTheNumber.py' has been completely removed from the repository. | Low – The removal of this script deletes a simple 'Guess the Number' game implementation. Unless this script was a dependency for other modules, the impact on the overall application functionality is minimal. | 0 |
Test2/P22_SequentialSearch.py |
Deleted ( +0/ -23) | The file 'Test2/P22_SequentialSearch.py', which contained an implementation of a sequential search algorithm, has been completely removed from the repository. | Low – The removal of this file means the sequential search utility is no longer available in this path. If other parts of the system depended on this specific implementation, they will break. | 0 |
Test2/P23_BinarySearch.py |
Deleted ( +0/ -29) | The file 'Test2/P23_BinarySearch.py', which contained a standard implementation of the binary search algorithm, has been completely removed from the repository. | Low – The removal of this file means the binary search utility is no longer available in this path. If other parts of the system depended on this specific implementation, they will encounter 'ModuleNotFoundError' or 'ImportError'. | 0 |
Test2/P24_SelectionSort.py |
Deleted ( +0/ -21) | The file 'Test2/P24_SelectionSort.py', which contained a Python implementation of the Selection Sort algorithm, has been completely removed from the repository. | Low – The removal of this file means the Selection Sort utility is no longer available in this specific path. If other parts of the system depended on this implementation, they will encounter ImportErrors. | 0 |
Test2/P25_BubbleSort.py |
Deleted ( +0/ -24) | The file P25_BubbleSort.py, which contained a standard implementation of the bubble sort algorithm in Python, has been completely removed from the repository. | Medium – Removing this file deletes the bubble sort utility from the project. If other modules or tests depend on this specific implementation, they will fail. However, since the file is deleted, there is no new code to analyze for logical errors. | 0 |
Test2/P26_InsertionSort.py |
Deleted ( +0/ -25) | The entire file 'Test2/P26_InsertionSort.py' has been deleted. This file contained a Python implementation of the Insertion Sort algorithm. | Low – The deletion of this file removes the Insertion Sort implementation from the codebase. If this utility was being used elsewhere, it might cause 'ModuleNotFoundError' or 'ImportError' in those files. | 0 |
Test2/P27_MergeSort.py |
Deleted ( +0/ -42) | The file P27_MergeSort.py, which contained an implementation of the Merge Sort algorithm, has been completely removed from the repository. | Low – The removal of this file means the Merge Sort implementation is no longer available in this path. If other parts of the system depended on this specific implementation, they will break; however, typically such files are standalone examples or are being refactored into different locations. | 0 |
Test2/P28_QuickSort.py |
Deleted ( +0/ -65) | The file P28_QuickSort.py, which contained implementations of the QuickSort algorithm, has been completely removed from the repository. | Low – Removing this file deletes the QuickSort implementation. If other parts of the application depend on these functions, it will cause NameErrors; however, as the file is deleted, there is no new code to analyze for logical errors. | 0 |
Test2/P29_ArgumentParser.py |
Deleted ( +0/ -21) | The file 'Test2/P29_ArgumentParser.py' has been completely removed from the repository. | Low – The removal of this script means the argument parsing functionality for 'Slowbros' members is no longer available in this path. | 0 |
Test2/P70_SimpleProgressBar.py |
Added ( +18/ -0) | Added a script to create and display a simple text-based progress bar in the console. | Low – The script provides a utility function for visual progress tracking in CLI applications. | 2 |
Test2/P71_PythonUnittest.py |
Added ( +44/ -0) | Added a prime number checking function along with a unittest suite to verify its correctness. | High – The prime checking logic contains a critical flaw that causes incorrect results for odd composite numbers, which will lead to failed integrity checks. | 1 |
Test2/P72_PythonLambda.py |
Added ( +33/ -0) | Added a Python script demonstrating the use of lambda functions, including basic arithmetic and mapping over a list. | Low – This is an educational script and does not affect core application functionality. | 1 |
Test2/P73_SimplePythonEncryption.py |
Added ( +27/ -0) | Implementation of a simple RSA encryption and decryption script using the pycrypto library. | High – The script uses insecure cryptographic practices including a small key size and deprecated library, which could lead to data compromise if used in production. | 3 |
Test2/P74_PythonGenerators.py |
Added ( +18/ -0) | Implementation of a Python generator function that yields numbers from a list based on user input. | Medium – The script introduces an interactive generator that relies on blocking user input, which affects how the generator is consumed in loops. | 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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Potential Runtime Error: Unhandled Non-Integer Input
I noticed that we're directly casting the user inputs a and b to integers. If a user enters something that isn't a number (like a string or a special character), the program will crash with a ValueError. It would be safer to wrap this in a try-except block or validate the input before performing the addition to ensure the script remains robust.
| print('Addition is:', int(a) + int(b)) | |
| try: | |
| print('Addition is:', int(a) + int(b)) | |
| except ValueError: | |
| print('Error: Please enter valid numeric values for addition.') |
| print('Poped Element:',myList.pop()) | ||
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| #To remove a particular element from the lsit BY NAME | ||
| myList.remove(6) |
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Potential ValueError in List Removal
I noticed we're calling myList.remove(6) here. In Python, the remove() method raises a ValueError if the specified element isn't found in the list. Since the list was modified by pop() and sort() earlier, it's safer to check if the element exists before trying to remove it to prevent a runtime crash.
| myList.remove(6) | |
| if 6 in myList: | |
| myList.remove(6) |
Reasons & Gaps
Reasons
- Calling remove() on a missing element causes the program to terminate with a ValueError
- Defensive programming ensures the script remains robust even if previous logic changes
- Checking existence before removal is a standard safety pattern for Python lists
Gaps
- The script is likely for demonstration where the developer knows the state of the list
- In a controlled script, the risk of the element being missing is low but still present
| ''' | ||
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| num = userInput | ||
| num = int(input('Enter number for pattern')) |
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Functional Logic Error: Redundant Parameter and Modularity Break
I notice we've changed num to use input() directly inside the function. This makes the userInput parameter redundant and breaks the function's modularity, as it can no longer be called with external data. It's generally better to keep input logic outside of processing functions to make them more reusable and easier to test.
| num = int(input('Enter number for pattern')) | |
| num = userInput |
| def fibonacci(number): | ||
| '''This function calculates the fibonacci series till the n-th term''' | ||
| if number <= 1: | ||
| return number | ||
| else: | ||
| return (fibonacci(number - 1) + fibonacci(number - 2)) |
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Exponential Time Complexity in Recursion
The recursive implementation of Fibonacci has O(2^n) time complexity. For larger values of userInput, this will cause the program to hang or crash due to excessive computation and recursion depth.
| def fibonacci(number): | |
| '''This function calculates the fibonacci series till the n-th term''' | |
| if number <= 1: | |
| return number | |
| else: | |
| return (fibonacci(number - 1) + fibonacci(number - 2)) | |
| def fibonacci(number, memo={}): | |
| '''This function calculates the fibonacci series using memoization for efficiency''' | |
| if number in memo: return memo[number] | |
| if number <= 1: | |
| return number | |
| memo[number] = fibonacci(number - 1, memo) + fibonacci(number - 2, memo) | |
| return memo[number] |
| return fibonacci1 | ||
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| if __name__ == '__main__': | ||
| userInput = int(input('Enter the number upto which you wish to calculate fibonnaci series: ')) |
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Potential Runtime Error on Non-Integer Input
Using int(input()) directly without error handling will cause the program to crash with a ValueError if the user enters a non-numeric string or a float. We should wrap this in a try-except block.
| userInput = int(input('Enter the number upto which you wish to calculate fibonnaci series: ')) | |
| try: | |
| userInput = int(input('Enter the number upto which you wish to calculate fibonnaci series: ')) | |
| except ValueError: | |
| print("Please enter a valid integer.") | |
| exit(1) |
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| def LCM(number1, number2): | ||
| '''This function calculates LCM of two numbers inputed by the user''' | ||
| maximum = max(number1, number2) |
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Zero Division Error in LCM Calculation
I noticed that if a user enters '0' as one of the numbers, the program will crash with a ZeroDivisionError during the modulo operation. We should add a check to handle zero inputs, as the LCM of any number and zero is typically defined as zero or undefined depending on the context.
| maximum = max(number1, number2) | |
| if number1 == 0 or number2 == 0: | |
| return 0 | |
| maximum = max(number1, number2) |
| userInput = int(input('Enter the binary number to check its decimal equivalent: ')) | ||
| binaryToDecimal(userInput) |
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Missing Input Validation for Binary Format
I notice we're taking an integer input and assuming it only contains 0s and 1s. If a user enters a number like '123', the logic will still run and produce a mathematically 'correct' but logically invalid decimal result for a non-binary input. We should validate that the input only contains binary digits to ensure functional correctness.
| userInput = int(input('Enter the binary number to check its decimal equivalent: ')) | |
| binaryToDecimal(userInput) | |
| userInput = input('Enter the binary number to check its decimal equivalent: ') | |
| if not all(char in '01' for char in userInput): | |
| print('Invalid input! Please enter a binary number (0s and 1s only).') | |
| else: | |
| binaryToDecimal(int(userInput)) |
| userInput = int(input('Enter the decimal number to find its binary equivalent: ')) | ||
| decimalToBinary(userInput) |
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Potential Runtime Error: Unhandled Non-Integer Input
I notice we're using int(input()) directly. If a user enters something that isn't a number (like 'abc'), the program will crash with a ValueError. We should wrap this in a try-except block to handle invalid inputs gracefully.
| userInput = int(input('Enter the decimal number to find its binary equivalent: ')) | |
| decimalToBinary(userInput) | |
| try: | |
| userInput = int(input('Enter the decimal number to find its binary equivalent: ')) | |
| decimalToBinary(userInput) | |
| except ValueError: | |
| print('Invalid input! Please enter a valid decimal integer.') |
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| def palindrome(string): | ||
| '''This function checks the string for palindrome''' | ||
| revString = string[::-1] |
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Case-Sensitive Palindrome Check
I notice the current implementation is case-sensitive. This means 'Radar' would be flagged as 'not a palindrome' because 'R' doesn't match 'r'. Usually, palindrome checks should be case-insensitive to be more functional for users. We can fix this by converting the string to lowercase before comparing.
| revString = string[::-1] | |
| string = string.lower() | |
| revString = string[::-1] |
| if number > original[-1]: | ||
| print('Yes, the entered number is greater than those in the list') | ||
| else: | ||
| print('No, entered number is less than those in the list') |
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JAS - Just a suggestion
Inaccurate Error Message
The current logic correctly identifies if a number is not greater than the maximum element, but the print message is misleading. If the number is equal to the maximum element, it is not 'less than' the list; it's simply not greater than all elements. We should update the message to accurately reflect the comparison result.
| print('No, entered number is less than those in the list') | |
| print('No, entered number is not greater than all numbers in the list') |
| print('First argument:', sys.argv[1]) | ||
| print('Second argument:', sys.argv[2]) | ||
| except IndexError: | ||
| print('Give only two arguments') |
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Misleading Error Message
I notice that the error message says 'Give only two arguments', but the code actually expects exactly two arguments in addition to the script name (total of 3 elements in sys.argv). If a user provides only one argument, it will still trigger this IndexError. It would be clearer to tell the user exactly how many arguments are required for the script to run successfully.
| print('Give only two arguments') | |
| print('Error: This script requires exactly two arguments.') |
| even = [] | ||
| odd = [] | ||
| for number in numbers: | ||
| if int(number) % 2 == 0: |
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Potential Runtime Crash on Non-Numeric Input
I noticed that we're calling int(number) directly on user input without any validation. If a user accidentally enters a letter or a special character, the script will crash with a ValueError. It would be safer to check if the input is numeric before attempting the conversion to ensure the program remains robust.
| if int(number) % 2 == 0: | |
| if number.isdigit() and int(number) % 2 == 0: |
Reasons & Gaps
Reasons
- Direct conversion of unvalidated string to integer causes ValueError on non-digits
- A single invalid character in a long list will terminate the entire process
- Using isdigit() provides a simple guard against common input errors
Gaps
- The script might be intended for a controlled environment where input is guaranteed
- Simple scripts often omit validation for brevity in educational contexts
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| def log(number): | ||
| ''' This function creates a log file if any error is reported ''' | ||
| logging.basicConfig(filename = 'P18-logfile.txt', level = logging.INFO) |
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Redundant Logging Configuration
Calling logging.basicConfig inside a function that is executed multiple times is problematic. In Python, the first call to basicConfig configures the logger, and subsequent calls are ignored unless the existing handlers are removed. This can lead to unexpected behavior if you try to change configurations later. It's better to configure logging once at the application startup.
Reasons & Gaps
Reasons
- basicConfig is designed to be called once at the start of a program execution
- Subsequent calls to basicConfig are ignored by the logging engine by default
- Moving configuration to the entry point ensures consistent logging across the app
Gaps
- The script is small and might only run once per execution, making the impact minimal in this specific context.
- In larger applications, this pattern prevents dynamic reconfiguration of logging levels or destinations.
| else: | ||
| print('Unsuccessful, this instance will be reported, check the log file') | ||
| logging.info('Invalid Entry') | ||
| except: |
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Bare Except Clause
Using a bare except: block is generally discouraged because it catches all exceptions, including SystemExit, KeyboardInterrupt, and other unexpected errors. This can make debugging very difficult as it hides the actual cause of a failure. We should catch specific exceptions like ValueError or TypeError to handle expected input issues gracefully.
| except: | |
| except (ValueError, TypeError): |
| while True: | ||
| try: | ||
| input() #For ENTER | ||
| starttime = time.time() | ||
| print('Started') |
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Logic Error: Start Time Reset
I notice that starttime is being reset every time the user presses ENTER inside the while True loop. This means the stopwatch effectively restarts on every input instead of measuring the time from the first start until the interrupt. We should move the start logic outside the loop to ensure we capture the total elapsed time correctly.
| while True: | |
| try: | |
| input() #For ENTER | |
| starttime = time.time() | |
| print('Started') | |
| input() #For ENTER | |
| starttime = time.time() | |
| print('Started') | |
| while True: | |
| try: | |
| time.sleep(0.1) # Wait for Ctrl+C |
| # expression using these arguments. You can assign the function to a variable to give it a name. | ||
| # The following example of a lambda function returns the sum of its two arguments: | ||
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| myFunc = lambda x, y: x * y |
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Incorrect Logic in Lambda Expression
The comment on line 11 states that the lambda function returns the sum of its two arguments, but the implementation on line 13 actually performs multiplication. This discrepancy between the documentation and the code logic can lead to incorrect results if a user expects addition based on the description.
| myFunc = lambda x, y: x * y | |
| myFunc = lambda x, y: x + y |
| randomGenerator = Random.new().read | ||
| # Generating a private key and a public key | ||
| # key stores both the keys | ||
| key = RSA.generate(1024, randomGenerator) # 1024 is the size of the key in bits |
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Insecure RSA Key Size
Using a 1024-bit RSA key is no longer considered secure against modern computational power. NIST and other security bodies recommend a minimum of 2048 bits to ensure long-term data protection. We should increase the key size to at least 2048 bits to meet current security standards.
| key = RSA.generate(1024, randomGenerator) # 1024 is the size of the key in bits | |
| key = RSA.generate(2048, randomGenerator) # 2048 is the recommended minimum size |
| # Generating a private key and a public key | ||
| # key stores both the keys | ||
| key = RSA.generate(1024, randomGenerator) # 1024 is the size of the key in bits | ||
| print(key) # Prints private key |
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Sensitive Data Exposure in Logs
Printing the private key directly to the console is a significant security risk. Private keys must remain confidential; exposing them in logs or standard output can lead to unauthorized decryption of sensitive data. We should remove the print statement that outputs the private key.
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| # Encryption using Public Key | ||
| publicKey = key.publickey() | ||
| encryptedData = publicKey.encrypt('My name is Omkar Pathak'.encode('utf-8'), 32) |
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Insecure RSA Encryption Parameter
The encrypt method is being called with a hardcoded parameter 32. In the pycrypto library, this second parameter is technically required by the API but is ignored in modern implementations. However, using the raw RSA encrypt method without proper padding (like OAEP) is mathematically insecure and vulnerable to various attacks. We should use a secure padding scheme.
| encryptedData = publicKey.encrypt('My name is Omkar Pathak'.encode('utf-8'), 32) | |
| from Crypto.Cipher import PKCS1_OAEP | |
| cipher = PKCS1_OAEP.new(publicKey) | |
| encryptedData = cipher.encrypt('My name is Omkar Pathak'.encode('utf-8')) |
Reasons & Gaps
Reasons
- Raw RSA encryption without padding is susceptible to chosen-ciphertext attacks
- The second parameter in pycrypto's RSA encrypt is legacy and provides no security
- PKCS#1 OAEP is the industry standard for secure RSA asymmetric encryption
Gaps
- The suggestion requires an additional import not present in the original diff
- Implementation details vary between the deprecated pycrypto and pycryptodome
| def simpleGenerator(numbers): | ||
| i = 0 | ||
| while True: | ||
| check = input('Wanna generate a number? (If yes, press y else n): ') |
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Blocking Input Inside Generator
I notice we're using input() inside the generator's while loop. Since generators are lazily evaluated, this will pause the execution of the for loop on every iteration to wait for user input. This makes the generator's behavior unpredictable for callers who expect a standard iterator. It's usually better to handle user interaction outside the generator or pass the control logic as a parameter.
Reasons & Gaps
Reasons
- Mixing I/O logic with data generation logic violates separation of concerns
- Blocking calls inside a generator can lead to unexpected hangs in automated loops
- Reduces the reusability of the generator function in different application layers
Gaps
- The developer might intentionally want an interactive generator for a CLI tool
- The impact depends on whether this generator is intended for reuse in non-interactive contexts
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| Coding Standard | Violations | Citation |
|---|---|---|
Function naming convention |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P02_VariableScope.py
| Coding Standard | Violations | Citation |
|---|---|---|
Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P03_ListsOperations.py
| Coding Standard | Violations | Citation |
|---|---|---|
Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P05_Pattern.py
| Coding Standard | Violations | Citation |
|---|---|---|
Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P08_Fibonacci.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P09_Factorial.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P10_LCM.py
| Coding Standard | Violations | Citation |
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Function naming convention |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P11_BinaryToDecimal.py
| Coding Standard | Violations | Citation |
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Misleading Function Name |
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JAS - Just a suggestion
🗂️ Test2/P12_DecimalToBinary.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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Misleading Function Name |
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JAS - Just a suggestion
🗂️ Test2/P13_Palindrome.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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Misleading Function Name |
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JAS - Just a suggestion
🗂️ Test2/P14_CheckGreater.py
| Coding Standard | Violations | Citation |
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Misleading Function Name |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P15_Arguments.py
| Coding Standard | Violations | Citation |
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Function naming convention |
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JAS - Just a suggestion
🗂️ Test2/P16_CountVowels.py
| Coding Standard | Violations | Citation |
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Misleading Function Name |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P17_EvenOdd.py
| Coding Standard | Violations | Citation |
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Function naming convention |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P18_Logging.py
| Coding Standard | Violations | Citation |
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Misleading Function Name |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P19_SimpleStopWatch.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P70_SimpleProgressBar.py
| Coding Standard | Violations | Citation |
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Function naming convention |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P71_PythonUnittest.py
| Coding Standard | Violations | Citation |
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Misleading Function Name |
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Variable naming convention |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P72_PythonLambda.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P73_SimplePythonEncryption.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test2/P74_PythonGenerators.py
| Coding Standard | Violations | Citation |
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Function naming convention |
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JAS - Just a suggestion
| # Author: OMKAR PATHAK | ||
| # This program prints the entered message | ||
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| def justPrint(text): |
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Function Naming Convention (Case Style)
In Python, function names should follow the snake_case convention. Additionally, 'justPrint' is slightly vague; a name like print_message or display_text would be more descriptive.
| def justPrint(text): | |
| def print_message(text): |
Reasons & Gaps
Reasons
- Python naming conventions (PEP 8) require function names to be in snake_case
- Descriptive names improve code maintainability and clarify the function's intent
- Standardizing case style ensures consistency across the Python codebase
Gaps
- The term 'justPrint' is partially descriptive but uses camelCase instead of snake_case
- Project-specific naming conventions might allow camelCase, though it violates PEP 8
| def justPrint(text): | ||
| '''This function prints the text passed as argument to this function''' | ||
| print(text) | ||
| a=input("Enter a number: ") |
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Single-Character Variable Name
The variable name 'a' is non-descriptive. Use a name that reflects the purpose of the data, such as 'first_number' or 'input_value_a'.
| a=input("Enter a number: ") | |
| first_number = input("Enter a number: ") |
Reasons & Gaps
Reasons
- Single-character names like 'a' provide no context about the variable's content
- Descriptive names reduce the cognitive load required to understand the logic
- Improves code searchability and long-term maintainability
Gaps
- Single letters are common in quick scripts but discouraged in enterprise code
- The context of a simple input script makes the meaning clear, but violates the standard
| '''This function prints the text passed as argument to this function''' | ||
| print(text) | ||
| a=input("Enter a number: ") | ||
| b=input("Enter another number: ") |
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Single-Character Variable Name
The variable name 'b' is non-descriptive. Use a name like 'second_number' to improve code clarity.
| b=input("Enter another number: ") | |
| second_number = input("Enter another number: ") |
Reasons & Gaps
Reasons
- Non-descriptive names hinder readability for other developers
- Using 'second_number' explicitly states what the variable represents
- Consistent descriptive naming is a core tenet of clean code
Gaps
- Small scope makes the variable purpose obvious, yet it remains a naming violation
- Mathematical contexts sometimes use single letters, but input handling should be descriptive
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| # LEGB Rule: Local, Enclosing, Global, Built-in | ||
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| x = 80 # Global x |
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Single-Character Variable Name
The variable name 'x' is non-descriptive. Using single-letter names for global variables or business logic makes the code harder to maintain and understand.
| x = 80 # Global x | |
| global_value = 80 # Global x |
Reasons & Gaps
Reasons
- Single-character names fail to communicate the purpose or content of the variable
- Global variables require high clarity to prevent accidental shadowing or misuse
- Descriptive names like 'global_value' improve code searchability and long-term maintenance
Gaps
- Single-letter variables are common in mathematical contexts or small scripts
- The comment 'Global x' provides some context, though the name itself remains non-descriptive
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| def test(): | ||
| #global x | ||
| y = 100 # Local y |
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Single-Character Variable Name
The variable name 'y' is a single character. Unless used as a coordinate or in a simple loop, variables should have descriptive names that reflect their intent.
| y = 100 # Local y | |
| local_total = 100 # Local y |
Reasons & Gaps
Reasons
- 'y' provides no semantic meaning regarding what the value 100 represents
- Meaningful names reduce the need for inline comments explaining the variable's scope
- Following standard naming conventions ensures consistency across the enterprise codebase
Gaps
- In very short functions, single-letter variables are sometimes tolerated by developers
- The specific business logic or domain of this script is not fully clear from the snippet
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| def fibonacci_without_recursion(number): | ||
| if number == 0: return 0 | ||
| fibonacci0, fibonacci1 = 0, 1 |
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Refine Variable Names for Clarity
The variable names fibonacci0 and fibonacci1 use numeric suffixes which are less descriptive. Renaming them to previous_term and current_term better reflects their role in the sequence calculation.
| fibonacci0, fibonacci1 = 0, 1 | |
| previous_term, current_term = 0, 1 |
Reasons & Gaps
Reasons
- Numeric suffixes like '0' and '1' are less expressive than descriptive role-based names
- Using 'previous' and 'current' clarifies the state management within the iterative loop
- Improves maintainability by aligning with expressive naming standards for business logic
Gaps
- The current names are mathematically functional and common in simple algorithm implementations
- Context of a Fibonacci function makes the meaning of 0 and 1 suffixes relatively clear
| return fibonacci1 | ||
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| if __name__ == '__main__': | ||
| userInput = int(input('Enter the number upto which you wish to calculate fibonnaci series: ')) |
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Standardize Variable Naming Convention
The variable userInput uses camelCase, which deviates from the Python standard snake_case convention. Renaming it to user_input ensures consistency with PEP 8 guidelines.
| userInput = int(input('Enter the number upto which you wish to calculate fibonnaci series: ')) | |
| user_input = int(input('Enter the number upto which you wish to calculate fibonnaci series: ')) |
Reasons & Gaps
Reasons
- PEP 8 specifically recommends snake_case for all variable and function names in Python
- Consistent casing reduces cognitive load when switching between different modules
- Eliminates mixed-style naming which can lead to confusion in larger codebases
Gaps
- Project-specific style guides sometimes allow camelCase if migrating from other languages
- The variable is functional and its purpose is entirely clear despite the casing style
| return number * factorial(number - 1) | ||
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| def factorial_without_recursion(number): | ||
| fact = 1 |
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Cryptic Abbreviation in Variable Name
The variable name 'fact' is an abbreviation for 'factorial'. Expanding it to 'factorial_result' or 'result' improves code readability and follows the enterprise naming standard.
| fact = 1 | |
| factorial_result = 1 |
Reasons & Gaps
Reasons
- Using full words instead of abbreviations reduces cognitive load for maintainers
- 'factorial_result' explicitly describes the purpose of the variable in this context
- Standardizing naming across the codebase ensures consistency and professional quality
Gaps
- 'fact' is a very common abbreviation in mathematical programming contexts
- The local scope of the function makes the purpose of the variable relatively clear
| print(fact) | ||
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| if __name__ == '__main__': | ||
| userInput = int(input('Enter the number to find its factorial: ')) |
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Inconsistent Naming Convention (CamelCase in Python)
The variable 'userInput' uses camelCase, which is inconsistent with Python's snake_case convention. Renaming it to 'user_input' aligns with PEP 8 and project standards.
| userInput = int(input('Enter the number to find its factorial: ')) | |
| user_input = int(input('Enter the number to find its factorial: ')) |
Reasons & Gaps
Reasons
- PEP 8 specifically recommends snake_case for variable names in Python
- Consistent casing prevents confusion when searching or refactoring the codebase
- 'user_input' is the idiomatic way to represent this variable in a Pythonic way
Gaps
- The variable is functional and its meaning is entirely clear to any developer
- Some teams may allow mixed styles if transitioning from other languages like Java
| #Author: OMKAR PATHAK | ||
| #This program calculates the LCM of the two numbers entered by the user | ||
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| def LCM(number1, number2): |
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Function Naming Convention
In Python, function names should follow the snake_case convention. Additionally, 'LCM' is an abbreviation; using a more descriptive name like calculate_lcm improves readability and follows PEP 8 standards.
| def LCM(number1, number2): | |
| def calculate_lcm(number1, number2): |
Reasons & Gaps
Reasons
- Python naming conventions (PEP 8) require function names to be in lowercase with underscores
- Descriptive names like 'calculate_lcm' clearly communicate the action being performed
- Avoiding all-caps function names prevents confusion with constants or class names
Gaps
- LCM is a universally recognized mathematical abbreviation which might be acceptable in scientific contexts
- The project may not strictly enforce PEP 8 snake_case for mathematical utilities
| def LCM(number1, number2): | ||
| '''This function calculates LCM of two numbers inputed by the user''' | ||
| maximum = max(number1, number2) | ||
| i = maximum |
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Single-Character Variable Name
The variable name 'i' is used here as a tracking value for the LCM calculation logic rather than a simple loop counter. Using a more descriptive name like current_multiple enhances code clarity.
| i = maximum | |
| current_multiple = maximum |
Reasons & Gaps
Reasons
- Single-letter names (except for loop indices) provide no context about the data being held
- 'current_multiple' explicitly describes the variable's role in the LCM algorithm
- Improves maintainability by making the logic self-documenting for future reviewers
Gaps
- 'i' is a very common convention for counters even outside of strict 'for' loop definitions
- In short functions, the cognitive load of a single-letter variable is relatively low
| return lcm | ||
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| if __name__ == '__main__': | ||
| userInput1 = int(input('Enter first number: ')) |
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Variable Naming Convention (Case Style)
The variable userInput1 uses camelCase, which is inconsistent with Python's snake_case convention. Renaming it to user_input_1 or first_number would be more idiomatic.
| userInput1 = int(input('Enter first number: ')) | |
| first_number = int(input('Enter first number: ')) |
Reasons & Gaps
Reasons
- Python standard library and community conventions strictly prefer snake_case for variables
- Consistency in casing reduces friction for Python developers reading the codebase
- 'first_number' is more semantically accurate than the generic 'userInput1'
Gaps
- The developer might be coming from a Java/JavaScript background where camelCase is standard
- The name is technically descriptive, only the casing style is non-idiomatic for Python
| #Author: OMKAR PATHAK | ||
| #This program converts the given binary number to its decimal equivalent | ||
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| def binaryToDecimal(binary): |
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Boolean-Returning Function Without Prefix
The function name 'binaryToDecimal' uses camelCase which violates Python's snake_case convention. Additionally, if this function were intended to validate or return a status, it would require a boolean prefix.
| def binaryToDecimal(binary): | |
| def binary_to_decimal(binary): |
Reasons & Gaps
Reasons
- Python naming conventions (PEP 8) require function names to be in snake_case
- Improving naming consistency helps maintainability across the Python ecosystem
- Clearer word separation in function names reduces cognitive load for developers
Gaps
- The function performs a print side-effect rather than returning a value
- Standard library naming sometimes differs from PEP 8 in legacy contexts
| def binaryToDecimal(binary): | ||
| '''This function calculates the decimal equivalent to given binary number''' | ||
| binary1 = binary | ||
| decimal, i, n = 0, 0, 0 |
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Single-Character Variable Names
The variables 'i' and 'n' are single-character names used outside of a loop definition. Using more descriptive names like 'exponent' or 'counter' improves code clarity.
| decimal, i, n = 0, 0, 0 | |
| decimal, exponent, digit_count = 0, 0, 0 |
Reasons & Gaps
Reasons
- Single-letter variables (except i, j, k in loops) lack descriptive context
- Descriptive names like 'exponent' clarify the mathematical logic being applied
- Reduces the need for comments to explain the purpose of local state variables
Gaps
- 'i' is a very common convention for counters even outside strict loop headers
- The variable 'n' appears unused in the provided snippet, making its purpose vague
| binary1 = binary | ||
| decimal, i, n = 0, 0, 0 | ||
| while(binary != 0): | ||
| dec = binary % 10 |
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Non-Standard Abbreviation
The variable 'dec' is a non-standard abbreviation. Expanding it to 'remainder' or 'last_digit' makes the logic more explicit.
| dec = binary % 10 | |
| remainder = binary % 10 |
Reasons & Gaps
Reasons
- Abbreviations like 'dec' can be ambiguous (could mean decimal, decrease, or declare)
- Full words prevent confusion with other similarly named variables like 'decimal'
- Enhances semantic clarity in the core logic of the binary conversion algorithm
Gaps
- 'dec' is clearly derived from 'decimal', which is understandable in this context
- Short-lived local variables in small blocks are sometimes kept brief by convention
| print(n % 2,end = '') | ||
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| if __name__ == '__main__': | ||
| userInput = int(input('Enter the decimal number to find its binary equivalent: ')) |
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Non-Standard Case Convention
The variable 'userInput' uses camelCase. Python standards (PEP 8) recommend snake_case for variable names to ensure consistency across the ecosystem.
| userInput = int(input('Enter the decimal number to find its binary equivalent: ')) | |
| user_input = int(input('Enter the decimal number to find its binary equivalent: ')) |
Reasons & Gaps
Reasons
- Pythonic code uses snake_case for all variable assignments to maintain readability
- Mixed casing styles (camelCase vs snake_case) make the codebase harder to navigate
- Standardizing on user_input aligns with common Python community practices
Gaps
- Local variables in scripts sometimes deviate from strict PEP 8 without impacting logic
- The name itself is descriptive, only the casing is non-standard for the language
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| def palindrome(string): | ||
| '''This function checks the string for palindrome''' | ||
| revString = string[::-1] |
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Mixed Abbreviation/CamelCase Variable Name
The variable name 'revString' uses a non-standard abbreviation 'rev' and follows camelCase, which is not idiomatic for Python variables. Use snake_case and descriptive names like 'reversed_string'.
| revString = string[::-1] | |
| reversed_string = string[::-1] |
Reasons & Gaps
Reasons
- Python naming conventions (PEP 8) require snake_case for variable names
- 'rev' is a cryptic abbreviation that should be expanded to 'reversed'
- Improving naming consistency enhances long-term code maintainability
Gaps
- 'rev' is a very common abbreviation in programming for 'reversed'
- Local scope variables are sometimes allowed more brevity in small functions
| print('String is not Palindrome') | ||
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| if __name__ == '__main__': | ||
| userInput = str(input('Enter a string to check for Palindrome: ')) |
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Mixed Case Variable Name
The variable 'userInput' uses camelCase. In Python, variables should follow the snake_case convention (e.g., 'user_input') to align with PEP 8 standards.
| userInput = str(input('Enter a string to check for Palindrome: ')) | |
| user_input = str(input('Enter a string to check for Palindrome: ')) |
Reasons & Gaps
Reasons
- PEP 8 explicitly recommends snake_case for all variable and function names
- Consistent casing prevents confusion in large Python codebases
- 'user_input' is the standard idiomatic naming for this specific variable
Gaps
- The name is fully descriptive and clear despite the casing violation
- Some teams may use camelCase if transitioning from Java/C++ backgrounds
| #Author: OMKAR PATHAK | ||
| #This program checks for the palindrome | ||
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| def palindrome(string): |
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Boolean-Returning Function Without Prefix
Functions that check a condition and return a result (or print a status) should ideally use a boolean prefix like 'is_' or 'check_'. Consider renaming to 'is_palindrome'.
| def palindrome(string): | |
| def is_palindrome(string): |
Reasons & Gaps
Reasons
- Function names should typically be verbs or verb phrases describing actions
- Predicate-style functions are clearer when prefixed with 'is_' or 'has_'
- 'is_palindrome' clearly indicates the function's purpose as a check
Gaps
- The function currently prints instead of returning a boolean value
- The name 'palindrome' is a noun, which is ambiguous for a function action
| #Author: OMKAR PATHAK | ||
| #This prpgram checks that the given number is greater than all those numbers in th list | ||
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| def checkGreater(number): |
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Boolean-Returning Function Without Prefix
The function returns a boolean-like result (implicit comparison logic) but lacks a standard boolean prefix such as is_, has_, or can_. Additionally, it uses camelCase which is non-standard for Python.
| def checkGreater(number): | |
| def is_greater_than_list(number): |
Reasons & Gaps
Reasons
- Boolean-logic functions should use prefixes like 'is_' to clarify the expected output
- Standardizing function names improves code discoverability and readability
- Using snake_case aligns with PEP 8 standards for Python function naming
Gaps
- The function currently prints instead of returning a boolean, making the prefix requirement slightly ambiguous
- Python naming conventions are usually snake_case, but some teams use camelCase for specific reasons
| print('No, entered number is less than those in the list') | ||
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| if __name__ == '__main__': | ||
| userInput = int(input('Enter the number to check: ')) |
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Non-Standard Variable Naming (camelCase)
The variable userInput uses camelCase, which violates the standard Python snake_case convention. It should be renamed to user_input for consistency with the language style guide.
| userInput = int(input('Enter the number to check: ')) | |
| user_input = int(input('Enter the number to check: ')) |
Reasons & Gaps
Reasons
- PEP 8 recommends snake_case for variable names to ensure codebase consistency
- Consistent naming reduces cognitive load when switching between different Python modules
- Standard naming conventions help automated tools and linters process the code correctly
Gaps
- camelCase is functional and common in other languages like Java/JavaScript
- Project-specific style guides might explicitly allow camelCase over snake_case
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| import sys | ||
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| def arguments(): |
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Non-Descriptive Function Name
The function name 'arguments' is a noun and does not clearly describe the action being performed. Renaming it to a verb-based name like 'print_command_line_arguments' would better communicate its purpose.
| def arguments(): | |
| def print_command_line_arguments(): |
Reasons & Gaps
Reasons
- Function names should explicitly state the action performed using a verb
- 'arguments' is a noun and acts more like a variable name than a function
- A descriptive name like 'print_command_line_arguments' acts as self-documentation
Gaps
- The function name is technically related to the logic but lacks a clear verb
- In a small script, the context might make the purpose obvious to some developers
| #Author: OMKAR PATHAK | ||
| #This program counts the vowels present in the user input | ||
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| def countVowels(sentence): |
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Boolean-Returning Function Without Prefix / Incorrect Case
The function name 'countVowels' uses camelCase which is non-standard for Python. Additionally, if this function were intended to return a boolean, it would require a prefix like 'is_'. However, since it returns a count, it should follow snake_case convention.
| def countVowels(sentence): | |
| def count_vowels(sentence): |
Reasons & Gaps
Reasons
- Python naming conventions (PEP 8) require function names to be in snake_case
- 'countVowels' follows Java/JavaScript conventions, reducing consistency in Python codebases
- Clear naming 'count_vowels' improves readability and follows language-specific standards
Gaps
- The function returns an integer count, so boolean prefix rules (is_/has_) do not strictly apply here
- The primary violation is the naming convention (camelCase vs snake_case) in a Python context
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| if __name__ == '__main__': | ||
| userInput = str(input("Enter the string to check for vowels: ")) |
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Incorrect Variable Naming Convention
The variable 'userInput' uses camelCase. In Python, variables should follow the snake_case naming convention to maintain consistency with the language's style guide.
| userInput = str(input("Enter the string to check for vowels: ")) | |
| user_input = str(input("Enter the string to check for vowels: ")) |
Reasons & Gaps
Reasons
- PEP 8 style guide explicitly recommends snake_case for variable and function names
- Using camelCase in Python creates visual inconsistency with standard library code
- 'user_input' is the idiomatic Pythonic way to represent this variable name
Gaps
- The name is descriptive and its purpose is clear despite the casing violation
- Project-specific style guides might occasionally allow camelCase, though rare in Python
| #Author: OMKAR PATHAK | ||
| #This program takes input from user and sorts the numbers in two arrays, one of even and other of odd | ||
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| def evenOdd(numbers): |
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Function Naming Convention
In Python, function names should follow the snake_case convention. The current name evenOdd uses camelCase, which is non-standard for this language. Renaming it to split_even_odd would be more idiomatic and descriptive.
| def evenOdd(numbers): | |
| def split_even_odd(numbers): |
Reasons & Gaps
Reasons
- Python's PEP 8 style guide mandates snake_case for function names
- Consistent naming conventions improve codebase searchability and professional standards
- camelCase is typically reserved for other languages like Java or JavaScript
Gaps
- The function name is understandable despite the casing violation
- Small scripts sometimes deviate from PEP 8 for personal preference
| while True: | ||
| try: | ||
| input() #For ENTER | ||
| starttime = time.time() |
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Non-Standard Variable Abbreviation
The variable name starttime uses a non-standard concatenation. Following Python's snake_case convention and improving semantic clarity, start_time is preferred.
| starttime = time.time() | |
| start_time = time.time() |
Reasons & Gaps
Reasons
- Python naming conventions (PEP 8) recommend snake_case for variable names
- Improving 'starttime' to 'start_time' enhances readability by separating distinct words
- Consistent use of underscores prevents visual crowding in more complex logic blocks
Gaps
- The term 'starttime' is widely understood in programming contexts despite missing an underscore
- Small script scope makes the current naming functional and low-risk for maintenance
| print('Started') | ||
| except KeyboardInterrupt: | ||
| print('Stopped') | ||
| endtime = time.time() |
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Non-Standard Variable Abbreviation
The variable name endtime should be refined to end_time to align with PEP 8 snake_case conventions and improve word separation.
| endtime = time.time() | |
| end_time = time.time() |
Reasons & Gaps
Reasons
- Separating 'end' and 'time' with an underscore follows standard Python naming patterns
- Enhances consistency with other potential time-related variables in the project
- Reduces cognitive load when scanning code for specific variable references
Gaps
- 'endtime' is a common compound word in many codebases and is easily understood
- The impact on code execution or logic is zero, making this a stylistic refinement
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| import sys, time | ||
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| def progressBar(count, total, suffix=''): |
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Function Naming Convention (snake_case)
In Python, function names should follow the snake_case convention. The current name progressBar uses camelCase, which is non-standard for this language.
| def progressBar(count, total, suffix=''): | |
| def progress_bar(count, total, suffix=''): |
Reasons & Gaps
Reasons
- PEP 8 style guide specifically mandates snake_case for function and variable names
- Consistent naming conventions improve code searchability and developer onboarding
- Standardized naming prevents confusion with class names which typically use PascalCase
Gaps
- The project might be following a cross-language style guide that mandates camelCase
- Existing codebase consistency might override PEP 8 recommendations in this specific repository
| import sys, time | ||
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| def progressBar(count, total, suffix=''): | ||
| barLength = 60 |
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JAS - Just a suggestion
Variable Naming Convention (snake_case)
The variable barLength uses camelCase. Following Python's PEP 8 standards, local variables should use snake_case (e.g., bar_length).
| barLength = 60 | |
| bar_length = 60 |
Reasons & Gaps
Reasons
- Improves alignment with Python's ecosystem and standard library naming patterns
- Enhances readability by using underscores to separate logical words in identifiers
- Maintains internal consistency with other Python tools and linters
Gaps
- Local scope variables are sometimes less strictly enforced than public API names
- The developer might be transitioning from a Java/C++ background where camelCase is standard
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| def progressBar(count, total, suffix=''): | ||
| barLength = 60 | ||
| filledLength = int(round(barLength * count / float(total))) |
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JAS - Just a suggestion
Variable Naming Convention (snake_case)
The variable filledLength should be renamed to filled_length to comply with Python's snake_case naming convention for variables.
| filledLength = int(round(barLength * count / float(total))) | |
| filled_length = int(round(bar_length * count / float(total))) |
Reasons & Gaps
Reasons
- Adheres to the PEP 8 recommendation for variable naming in Python scripts
- Reduces cognitive load by following expected language-specific formatting rules
- Ensures the codebase remains professional and follows community best practices
Gaps
- Variable is used in a calculation where brevity might have been prioritized over style
- Context is limited to a single function where naming impact is localized
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| import unittest | ||
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| def checkPrime(number): |
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JAS - Just a suggestion
Boolean Function Naming Convention
Functions that return a boolean value should be prefixed with is_, has_, can_, or should_ to clearly indicate their return type and purpose. Additionally, Python functions should follow snake_case naming conventions.
| def checkPrime(number): | |
| def is_prime(number): |
Reasons & Gaps
Reasons
- Function returns a boolean value but lacks a required boolean prefix like 'is_'
- Violates Python's snake_case naming convention for functions
- Prefixing with 'is_' makes the function's purpose as a predicate clearer to callers
Gaps
- The function name 'checkPrime' is technically descriptive but lacks the standard boolean prefix required by the enterprise standard
- Project-specific naming conventions might allow 'check' as a prefix for boolean checks
| if number == 2: | ||
| return True | ||
| if number > 2: | ||
| for i in range(2, number): |
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JAS - Just a suggestion
Vague Variable Name
The variable name 'i' is functional as a loop counter but could be more descriptive in this context, such as 'divisor', to improve the semantic clarity of the prime check logic.
| for i in range(2, number): | |
| for divisor in range(2, number): |
Reasons & Gaps
Reasons
- Replacing 'i' with 'divisor' provides better domain-relevant context for the prime check
- Improves maintainability by explicitly stating the role of the variable in the calculation
- Aligns with the goal of making variable names fully expressive and meaningful
Gaps
- Single-letter variables like 'i' are widely accepted as standard for simple integer loops
- The standard allows 'i' as an exemption for loop counters, but CS-5 encourages refinement for clarity
| return True | ||
| break | ||
| else: | ||
| return False |
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Non-Descriptive Variable Name
The variable 'number' is a generic term. While functional, using a more specific name like 'input_value' or 'candidate_number' can improve clarity in mathematical logic.
| return False | |
| return False |
Reasons & Gaps
Reasons
- The name 'number' is explicitly listed as a forbidden generic name in the coding standard
- Using more specific nouns helps distinguish between different numeric inputs in larger scopes
- Standardizing away from generic terms reduces ambiguity in data processing functions
Gaps
- 'number' is a forbidden generic name under CS-1 rule 1.5
- However, in a mathematical utility function, 'number' is often considered contextually appropriate
| # expression using these arguments. You can assign the function to a variable to give it a name. | ||
| # The following example of a lambda function returns the sum of its two arguments: | ||
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| myFunc = lambda x, y: x * y |
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Non-Descriptive Variable Name
The variable name 'myFunc' is generic and does not describe the function's purpose. A name like 'multiply_numbers' or 'calculate_product' would be more descriptive and follow clean coding practices.
| myFunc = lambda x, y: x * y | |
| multiply_numbers = lambda x, y: x * y |
Reasons & Gaps
Reasons
- Generic names like 'myFunc' fail to communicate the intent or logic of the assigned function
- Descriptive naming reduces the need for external comments to explain variable purpose
- Following naming standards ensures consistency and maintainability across the codebase
Gaps
- The variable holds a lambda function where generic names are sometimes used in local, short-lived contexts
- The script appears to be educational, where 'myFunc' is a common placeholder name
| print(type(lambda x, y: x * y)) #Output: <class 'function'> | ||
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| # example to find squares of all numbers of a list | ||
| myList = [i for i in range(10)] |
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Non-Descriptive Variable Name
The variable name 'myList' is generic and includes the type 'List', which is discouraged. Use a name that describes the contents, such as 'numbers' or 'sequence'.
| myList = [i for i in range(10)] | |
| numbers = [i for i in range(10)] |
Reasons & Gaps
Reasons
- Including the data type 'List' in the name (Hungarian notation) is discouraged in Python
- 'myList' provides no information about what the list actually represents or contains
- Descriptive names like 'numbers' improve code clarity and semantic meaning
Gaps
- In simple scripts or snippets, 'myList' is often used as a generic container name
- The context of a range(10) makes the content relatively obvious even with a poor name
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| # Encryption using Public Key | ||
| publicKey = key.publickey() | ||
| encryptedData = publicKey.encrypt('My name is Omkar Pathak'.encode('utf-8'), 32) |
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Mixed Case Variable Name
The variable 'encryptedData' uses camelCase. Following Python's PEP 8 naming conventions, this should be renamed to 'encrypted_data' to maintain a consistent snake_case style.
| encryptedData = publicKey.encrypt('My name is Omkar Pathak'.encode('utf-8'), 32) | |
| encrypted_data = publicKey.encrypt('My name is Omkar Pathak'.encode('utf-8'), 32) |
Reasons & Gaps
Reasons
- Standardizes variable naming to snake_case as per PEP 8 recommendations for Python
- Improves readability by adhering to the community-accepted naming patterns for the language
- Prevents style inconsistencies that occur when mixing camelCase and snake_case in one file
Gaps
- The variable name is descriptive, only the casing style is a violation of the standard
- Developers often use camelCase when interacting with libraries that use that style
| print(encryptedData) | ||
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| # Decryption using Private Key | ||
| decryptedData = key.decrypt(encryptedData) |
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Mixed Case Variable Name
The variable 'decryptedData' uses camelCase. To comply with Python naming standards (PEP 8), it is recommended to use snake_case, such as 'decrypted_data'.
| decryptedData = key.decrypt(encryptedData) | |
| decrypted_data = key.decrypt(encryptedData) |
Reasons & Gaps
Reasons
- Adheres to PEP 8 naming conventions which prefer snake_case for variable assignments
- Enhances code maintainability by following language-specific best practices for readability
- Ensures the codebase remains professional and follows standard Python development patterns
Gaps
- The name is semantically clear; the violation is purely related to the casing convention
- Consistency with previous camelCase variables in the script might be the developer's intent
| # A Python generator is a function which returns a generator iterator (just an object we can iterate over) | ||
| # by calling yield | ||
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| def simpleGenerator(numbers): |
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Function Naming Convention
The function name simpleGenerator uses camelCase, which violates Python's snake_case convention. Additionally, it is somewhat generic; a more descriptive name like generate_numbers_interactively would better reflect its behavior.
| def simpleGenerator(numbers): | |
| def generate_numbers_interactively(numbers): |
Reasons & Gaps
Reasons
- Python naming conventions (PEP 8) require function names to be in snake_case
- Descriptive names should reflect the action performed, not just the technical construct
- Improving name clarity helps maintainers understand the interactive nature of the function
Gaps
- The term 'generator' is technically accurate in Python context but discouraged as a standalone name
- Project-specific naming conventions might allow camelCase, though it contradicts PEP 8
| # by calling yield | ||
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| def simpleGenerator(numbers): | ||
| i = 0 |
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Single-Character Variable Name
The variable i is a single character. While often used for loop counters, in this manual iteration context, a more descriptive name like index or current_position improves clarity.
| i = 0 | |
| index = 0 |
Reasons & Gaps
Reasons
- Single-character names (except in specific loop constructs) reduce code searchability
- Using 'index' explicitly communicates the variable's role in tracking the list position
- Descriptive naming reduces cognitive load when reading the while loop logic
Gaps
- Single letters like 'i' are widely accepted as idiomatic for indices in short scopes
- The violation is minor as the logic is simple and contained within a few lines
| def simpleGenerator(numbers): | ||
| i = 0 | ||
| while True: | ||
| check = input('Wanna generate a number? (If yes, press y else n): ') |
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Vague Variable Name
The variable name check is generic. A more expressive name like user_choice or continue_prompt would better describe the purpose of storing the user's input.
| check = input('Wanna generate a number? (If yes, press y else n): ') | |
| user_choice = input('Wanna generate a number? (If yes, press y else n): ') |
Reasons & Gaps
Reasons
- Generic names like 'check' do not convey the semantic meaning of the stored data
- 'user_choice' clearly identifies that the variable holds a decision from the end-user
- Expressive naming aligns with enterprise standards for maintainable business logic
Gaps
- 'check' is functional and common in small scripts, making the improvement subjective
- The context of the input prompt makes the meaning of 'check' relatively clear
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