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add print statement Co-authored-by: appmod-pr-genie[bot] <229331807+appmod-pr-genie[bot]@users.noreply.github.com>
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Functional AssessmentVerdict: ✅ Completed
🧠 User Story ID: TDRS-001-A — 8 Files Update📝 Feature CompletenessThe Requirement was.. The system must reflect changes across 8 distinct files and confirm the addition of 297 elements as described in the technical update. This is what is built... Implemented 8 Python files with various logic (lists, patterns, login) totaling 297 elements, with a new incremental update adding error handling to P01_hello.py. 📊 Implementation Status
✅ Completed Components
🎯 Conclusion & Final AssessmentImportant 🟢 Completed Features: Key completed features include the verification of 8 distinct files and the implementation of 297 code elements, now enhanced with try-except error handling in the hello script. |
⚙️ DevOps and Release Automation🟢 Status: PassedExcellent work! Your code passed the DevOps review. The previously noted addition of new environment variables is still relevant for this change set. Please ensure they are configured in all deployment environments. Environment Variable Changes
🔴 Required Fixes
🟢 Minor Suggestions
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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| class LoginSystem: | |||
| def __init__(self): | |||
| self.valid_email = os.getenv("VALID_EMAIL") | |||
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New Environment Variable Added
I see the addition of the VALID_EMAIL environment variable is still part of this change. This is a great step for externalizing configuration! Please ensure that this variable is added to the configuration and secrets management systems for all applicable environments (development, staging, production) to prevent deployment failures or runtime errors.
| class LoginSystem: | ||
| def __init__(self): | ||
| self.valid_email = os.getenv("VALID_EMAIL") | ||
| self.valid_password = os.getenv("VALID_PASSWORD") |
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JAS - Just a suggestion
New Environment Variable Added
I see the addition of the VALID_PASSWORD environment variable is still part of this change. This is a great step for externalizing configuration! Please ensure that this variable is added to the configuration and secrets management systems for all applicable environments (development, staging, production) to prevent deployment failures or runtime errors.
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| class LoginSystem: | |||
| def __init__(self): | |||
| self.valid_email = os.getenv("VALID_EMAIL") | |||
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Missing Import for 'os' Module
I've noticed that os.getenv is being used to retrieve environment variables, but the os module has not been imported in this file. This will cause the application to crash with a NameError when it tries to start. Let's add the import statement to resolve this.
| self.valid_email = os.getenv("VALID_EMAIL") | |
| import os | |
| class LoginSystem: |
🔍 Technical Quality Assessment📋 SummaryThis update introduces several new tools for the system, including a new login system and various data processing utilities. While these additions expand our capabilities, there are critical errors in the login and calculation logic that could cause the system to crash or allow unauthorized access if not fixed. 💼 Business Impact
🎯 Purpose & Scope
📊 Change AnalysisFiles by Category:
Impact Distribution:
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| File | Status | Description | Impact | Issues Detected |
|---|---|---|---|---|
Test/P02_VariableScope.py |
Added ( +16/ -0) | Added a script demonstrating Python variable scope rules (LEGB). | Low – The changes are educational and do not affect core application logic. | 0 |
Test/P03_ListsOperations.py |
Added ( +48/ -0) | Added a Python script demonstrating various list operations including slicing, appending, sorting, popping, removing, and reversing. | Low – This is an educational or test script demonstrating basic Python list manipulations. It does not affect core application logic. | 1 |
Test/P06_CharCount.py |
Added ( +18/ -0) | Added a script to calculate character frequency in a given string using a dictionary. | Low – This is a standalone utility script for character counting. It has minimal impact on other system components but contains inefficient logic for dictionary lookups. | 1 |
Test/P07_PrimeNumber.py |
Added ( +23/ -0) | Added a script to check if a given number is prime using a function and user input. | Medium – The script provides basic prime number checking functionality but contains logical flaws that result in incorrect output for specific inputs like the number 2. | 1 |
Test/P05_Pattern.py |
Added ( +112/ -0) | Added various pattern printing functions including triangle, inverted triangle, and pyramid patterns using loops and string multiplication. | Low – The changes introduce utility functions for printing patterns, which are primarily for educational or display purposes and do not affect core system logic. | 1 |
Test/P04_Factorial.py |
Added ( +17/ -0) | Added a recursive factorial calculation script with user input handling. | Medium – The script provides a functional factorial utility but contains a logic flaw regarding negative input handling that could lead to unexpected recursion behavior. | 1 |
Test/login.py |
Added ( +35/ -0) | Implementation of a basic login system with account locking logic after failed attempts. | Medium – The changes introduce core authentication logic and account security features (locking), which directly affect user access control. | 2 |
Test/P01_hello.py |
Modified ( +4/ -1) | The previous issue regarding missing input validation has been successfully resolved by implementing a try-except block to handle ValueError during integer conversion. | Low – The script is now more robust against invalid user inputs, preventing runtime crashes during arithmetic operations. | 0 |
| 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 is not found in the list. Since the list was modified by pop() and sort() earlier, it's safer to check if the element exists before attempting to remove it to prevent a runtime crash.
| myList.remove(6) | |
| if 6 in myList: | |
| myList.remove(6) |
| dict = {} | ||
| for char in userInput: | ||
| keys = dict.keys() | ||
| if char in keys: |
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JAS - Just a suggestion
Inefficient Dictionary Lookup
I notice we're calling dict.keys() inside the loop and then checking for existence. In Python, you can check if a key exists directly in the dictionary using if char in dict:. This is much more efficient because dictionary lookups are O(1), whereas creating a view of keys and searching it can be less performant in some contexts.
| if char in keys: | |
| if char in dict: |
| isPrime = False | ||
| if number == 2: | ||
| print(number, 'is a Prime Number') | ||
| if number > 1: |
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Logical Error: Redundant Output for Number 2
I notice that when the input is 2, the function prints that it is a prime number twice. This happens because the first if block handles 2, and then the second if number > 1 block also executes, setting isPrime to true (since the loop range is empty) and printing the message again. We should use an elif or restructure the conditions to ensure each number is processed and reported only once.
| if number > 1: | |
| elif number > 1: |
| def pattern6(userInput): | ||
| ''' | ||
| following is the another approach to solve pattern problems with reduced time complexity | ||
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| * | ||
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| **** | ||
| ***** | ||
| ''' | ||
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| num = int(input('Enter number for pattern')) | ||
| pattern = '*' | ||
| string = pattern * num | ||
| x = 0 | ||
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| for i in string: | ||
| x = x + 1 | ||
| print(string[0:x]) |
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Redundant Input and Logic Error in pattern6
I noticed that pattern6 is defined inside the if __name__ == '__main__': block, which makes it a local function. More importantly, it ignores the userInput parameter and asks for input again, while the logic for printing the pattern is slightly flawed as it relies on a string length that might not match the user's requested level.
| def pattern6(userInput): | |
| ''' | |
| following is the another approach to solve pattern problems with reduced time complexity | |
| for | |
| * | |
| ** | |
| *** | |
| **** | |
| ***** | |
| ''' | |
| num = int(input('Enter number for pattern')) | |
| pattern = '*' | |
| string = pattern * num | |
| x = 0 | |
| for i in string: | |
| x = x + 1 | |
| print(string[0:x]) | |
| def pattern6(level): | |
| ''' | |
| Another approach to solve pattern problems with reduced time complexity | |
| ''' | |
| for i in range(1, level + 1): | |
| print('*' * i) |
| if number < 0: | ||
| print('Invalid entry! Cannot find factorial of a negative number') | ||
| if number == 0 or number == 1: |
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Infinite Recursion Risk on Negative Input
I notice that when a negative number is entered, we print an error message but then proceed to evaluate the next if and else blocks. This will trigger the recursive call factorial(number - 1) with an even smaller negative number, leading to a RecursionError (stack overflow). We should return early or use an elif structure to prevent the code from executing further after an invalid input is detected.
| if number < 0: | |
| print('Invalid entry! Cannot find factorial of a negative number') | |
| if number == 0 or number == 1: | |
| if number < 0: | |
| print('Invalid entry! Cannot find factorial of a negative number') | |
| return None | |
| elif number == 0 or number == 1: |
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| class LoginSystem: | |||
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Missing Import for 'os' Module
I notice we're using os.getenv to retrieve credentials, but the os module hasn't been imported. This will cause a NameError as soon as the class is instantiated. We should add import os at the top of the file to ensure the environment variables can be accessed correctly.
| class LoginSystem: | |
| import os | |
| class LoginSystem: |
| if self.locked: | ||
| return "Account is locked. Contact support." | ||
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| if email == self.valid_email and password == self.valid_password: |
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Potential Constant Time Comparison Issue
While this works for basic logic, using standard equality operators (==) for password comparison can be vulnerable to timing attacks. In a production environment, we'd want to use a constant-time comparison function to prevent attackers from guessing the password based on how long the check takes.
| if email == self.valid_email and password == self.valid_password: | |
| if email == self.valid_email and hmac.compare_digest(password, self.valid_password): |
Reasons & Gaps
Reasons
- Standard string comparison returns early on the first mismatched character
- This measurable time difference can be exploited to brute-force credentials
- Using compare_digest ensures the operation takes the same time regardless of input
Gaps
- The impact of timing attacks depends on the network latency and environment
- Standard string comparison is often acceptable for non-high-security internal tools
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| Coding Standard | Violations | Citation |
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Variable naming convention |
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Function naming convention |
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JAS - Just a suggestion
🗂️ Test/P03_ListsOperations.py
| Coding Standard | Violations | Citation |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test/P04_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
🗂️ Test/P05_Pattern.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
🗂️ Test/P06_CharCount.py
| Coding Standard | Violations | Citation |
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Function naming convention |
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Variable naming convention |
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Variable naming convention |
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JAS - Just a suggestion
🗂️ Test/P07_PrimeNumber.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
🗂️ Test/login.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
🗂️ Test/P01_hello.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
| # 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 as per PEP 8. The current name justPrint uses camelCase, which is non-standard for this language.
| def justPrint(text): | |
| def just_print(text): |
Reasons & Gaps
Reasons
- Python's PEP 8 style guide explicitly recommends snake_case for function names
- Consistent casing improves code maintainability and follows community standards
- Helps distinguish functions from classes which use PascalCase in Python
Gaps
- Project-specific style guides might intentionally adopt camelCase for consistency with other languages
- The function name is descriptive enough despite the casing violation
| 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. Using single-character names for business logic or user input makes the code harder to understand and maintain.
| a=input("Enter a number: ") | |
| first_number = input("Enter a number: ") |
Reasons & Gaps
Reasons
- Single-letter variables increase cognitive load when reading complex logic
- Descriptive names like 'first_number' clearly communicate the variable's intent
- Prevents ambiguity if more variables are added to the scope later
Gaps
- In very small scripts or mathematical contexts, single letters are sometimes tolerated
- The prompt 'Enter a number' provides immediate local context for the variable's purpose
| '''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. Descriptive names should be used to reflect the purpose of the data being stored.
| b=input("Enter another number: ") | |
| second_number = input("Enter another number: ") |
Reasons & Gaps
Reasons
- Meaningful names improve code self-documentation without needing extra comments
- 'second_number' is more expressive than 'b' for future code modifications
- Follows enterprise standards for clear and maintainable application code
Gaps
- Short-lived variables in simple scripts are often named using single letters by convention
- The immediate usage in the print statement reduces the risk of confusion
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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 more meaningful names like 'global_count' or 'base_value' improves code clarity and maintainability.
| x = 80 # Global x | |
| global_value = 80 # Global value |
Reasons & Gaps
Reasons
- Single-character names fail to communicate the purpose or intent of the variable
- Descriptive names reduce the cognitive effort required to understand the logic
- Standard conventions prefer full words over single letters for business logic
Gaps
- Single-letter variables are common in mathematical contexts or small scripts
- The comment 'Global x' provides some context, though the name itself remains vague
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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 ambiguous. A descriptive name such as 'local_offset' or 'adjustment_value' would better reflect its role in the function.
| y = 100 # Local y | |
| local_value = 100 # Local value |
Reasons & Gaps
Reasons
- Using 'y' requires the reader to inspect the assignment to understand the data
- Meaningful names prevent confusion when functions grow in complexity
- Improves overall code quality by adhering to enterprise naming standards
Gaps
- In very short functions, single-letter variables are sometimes tolerated by developers
- The specific domain of this script (educational scope example) uses simple names
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| x = 80 # Global x | ||
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| def test(): |
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Non-Descriptive Function Name
The function name 'test' is a generic placeholder. Rename it to describe the specific action being performed, such as 'demonstrate_variable_scope'.
| def test(): | |
| def demonstrate_scope_behavior(): |
Reasons & Gaps
Reasons
- Generic names like 'test' do not explain what logic is being executed
- Descriptive function names act as internal documentation for the codebase
- Avoids naming collisions and ambiguity in larger projects
Gaps
- 'test' is often used in quick scripts or unit testing frameworks
- The context of the file suggests this is a demonstration script where 'test' is common
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| #Syntax: list[start: end: step] | ||
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| myList = [1, 2, 3, 4, 5, 6, 7, 8, 9] |
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Non-Descriptive Variable Name
The variable name myList is generic and uses a type suffix ('List'), which violates naming standards. Use a name that describes the content or purpose of the data, such as numbers or integer_sequence.
| myList = [1, 2, 3, 4, 5, 6, 7, 8, 9] | |
| numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9] |
Reasons & Gaps
Reasons
- Variable names should describe the data they hold rather than the data structure type
- Using 'my' prefix and 'List' suffix adds no semantic value to the code logic
- Descriptive names like 'numbers' improve code maintainability and readability
Gaps
- The variable is used in a generic example script where specific domain context is absent
- Type suffixes are common in educational snippets but discouraged in enterprise code
| return number * factorial(number - 1) | ||
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| if __name__ == '__main__': | ||
| userInput = int(input('Enter the Number to find the factorial of: ')) |
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Variable Naming Convention (camelCase in Python)
The variable name 'userInput' uses camelCase, which is not the standard naming convention for Python variables. Following PEP 8, variable names should use snake_case to maintain consistency with the rest of the Python ecosystem.
| 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
- Python's PEP 8 style guide explicitly recommends snake_case for variable names
- Consistent naming conventions improve code maintainability and readability for Python developers
- Mixed naming styles (snake_case vs camelCase) create cognitive load during code reviews
Gaps
- Project-specific style guides sometimes allow camelCase if migrating from other languages
- The variable is local to the main block, reducing its impact on the overall API consistency
| num = int(input('Enter number for pattern')) | ||
| pattern = '*' | ||
| string = pattern * num | ||
| x = 0 |
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Single-Character Variable Name
The variable x is used as a counter/index but is not part of a loop definition. Using single-letter names for business logic or state tracking reduces code clarity.
| x = 0 | |
| char_index = 0 |
Reasons & Gaps
Reasons
- Single-letter names (except loop counters) increase cognitive load for readers
- 'char_index' explicitly describes the variable's role in the string slicing logic
- Descriptive names prevent ambiguity when functions grow in complexity
Gaps
- In very small functions, single-letter variables are sometimes tolerated by developers
- The variable's purpose is relatively clear from the immediate surrounding lines
| #Author: OMKAR PATHAK | ||
| #This program checks for the character frequency in the given string | ||
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| def charFrequency(userInput): |
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JAS - Just a suggestion
Function Naming Convention (Case Style)
In Python, function names should follow the snake_case convention. The current name charFrequency uses camelCase, which is inconsistent with PEP 8 standards.
| def charFrequency(userInput): | |
| def char_frequency(user_input): |
Reasons & Gaps
Reasons
- Python's PEP 8 style guide explicitly recommends snake_case for function and variable names
- Consistent naming conventions improve code maintainability and readability for Python developers
- Standardizing case style prevents confusion when integrating with other Python libraries
Gaps
- Project-specific style guides sometimes override PEP 8 to maintain consistency with legacy code
- The developer might be transitioning from a camelCase language like Java or JavaScript
| def charFrequency(userInput): | ||
| '''This fuction helps to count the char frequency in the given string ''' | ||
| userInput = userInput.lower() #covert to lowercase | ||
| dict = {} |
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Forbidden Generic Name
The variable name dict is a built-in Python type. Using it as a variable name shadows the built-in constructor and is considered a forbidden generic name.
| dict = {} | |
| char_counts = {} |
| userInput = userInput.lower() #covert to lowercase | ||
| dict = {} | ||
| for char in userInput: | ||
| keys = dict.keys() |
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Vague Generic Name
The variable name keys is generic. While functional, a more descriptive name like existing_chars or dictionary_keys would improve semantic clarity.
| keys = dict.keys() | |
| existing_chars = dict.keys() |
Reasons & Gaps
Reasons
- Descriptive names reduce the need for developers to trace variable assignments to understand intent
- Improving semantic clarity helps distinguish between different sets of keys in complex logic
- Standardizing naming across the pipeline enhances overall code maintainability
Gaps
- 'keys' is a common term when working with dictionaries and might be considered clear enough
- The variable is used immediately in the next line, reducing cognitive load
| #Author: OMKAR PATHAK | ||
| #This program checks whether the entered number is prime or not | ||
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| def checkPrime(number): |
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Boolean Function Naming Convention
The function returns a boolean value but lacks a standard boolean prefix like 'is_' or 'has_'. Renaming it to 'is_prime' follows Python naming conventions for predicate functions.
| def checkPrime(number): | |
| def is_prime(number): |
Reasons & Gaps
Reasons
- Functions returning booleans should use prefixes like 'is_' for clarity
- Improves readability by making the function's return type predictable
- Follows PEP 8 recommendations for descriptive and idiomatic naming
Gaps
- The function currently prints output instead of just returning a boolean
- Standard library naming conventions sometimes vary based on specific project styles
| if number == 2: | ||
| print(number, 'is a Prime Number') | ||
| if number > 1: | ||
| for i in range(2, number): |
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Single-Character Variable Name
While 'i' is common for loop counters, using a more descriptive name like 'divisor' or 'factor' can improve the clarity of the mathematical logic being performed.
| for i in range(2, number): | |
| for divisor in range(2, number): |
Reasons & Gaps
Reasons
- Descriptive names reduce cognitive load when reading complex logic
- 'divisor' explicitly describes the role of the variable in the modulo operation
- Enhances maintainability for developers unfamiliar with the specific algorithm
Gaps
- Single-letter variables like 'i' are explicitly exempted for loop counters in many standards
- The context of a prime check makes 'i' widely understood by developers
| print(number, 'is a Prime Number') | ||
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| if __name__ == '__main__': | ||
| userInput = int(input('Enter a number to check: ')) |
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Non-Standard Case Convention
In Python, variable names should follow the snake_case convention. 'userInput' (camelCase) should be refactored to 'user_input' to align with PEP 8 standards.
| userInput = int(input('Enter a number to check: ')) | |
| user_input = int(input('Enter a number to check: ')) |
Reasons & Gaps
Reasons
- Consistency with PEP 8 'snake_case' is standard for Python development
- Mixed naming styles (camelCase vs snake_case) reduce codebase professionality
- Standardized casing helps automated tools and linters process code correctly
Gaps
- Some developers use camelCase if they are coming from Java/JavaScript backgrounds
- The variable is functional and its meaning is perfectly clear despite the casing
| self.failed_attempts = 0 | ||
| self.locked = False | ||
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| def login(self, email, password): |
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Boolean-Returning Function Without Prefix
The function login returns a string message, but its logic and usage in the test cases suggest it acts as a validation check. If intended to return success/failure status, it should follow boolean naming conventions or be more descriptive of its side effects.
| def login(self, email, password): | |
| def authenticate_user(self, email, password): |
Reasons & Gaps
Reasons
- Function names should explicitly state the action being performed on an object
- 'login' is a generic verb that doesn't specify the return type or side effects
- Descriptive names like 'authenticate_user' improve code clarity and maintainability
Gaps
- The function returns strings instead of booleans, making the 'boolean_no_prefix' rule partially applicable
- The intent of the function is clear in context, though the name is generic
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| # ----- Testing the function ----- | ||
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| app = LoginSystem() |
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Vague Generic Variable Name
The variable name app is generic. While functional in a small script, using a more specific name like login_manager or auth_service better reflects the instance's purpose.
| app = LoginSystem() | |
| login_system = LoginSystem() |
Reasons & Gaps
Reasons
- Generic names like 'app' provide little information about the object's actual role
- Specific names improve semantic clarity and reduce ambiguity in larger scopes
- Aligning variable names with class names (e.g., login_system) is a best practice
Gaps
- 'app' is a very common convention for entry-point objects in many frameworks
- In a small test script, the cognitive load of 'app' is minimal
Appmod Quality Check: FAILED❌❌ Quality gate failed - This pull request requires attention before merging. 📊 Quality Metrics
🎯 AssessmentAction required - Please address the identified issues before proceeding. 📋 View Detailed Report for comprehensive analysis and recommendations. Automated by Appmod Quality Assurance System |
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