Conversation
Functional AssessmentVerdict:
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| ID | Feature/Sub-Feature | Status | Files |
|---|---|---|---|
| 1 | Program Execution | P01_hello.py, P02_VariableScope.py, P03_ListsOperations.py | |
| 1.1 | └─ Basic Python Concepts | P01_hello.py |
| ID | Feature/Sub-Feature | Status | Files |
|---|---|---|---|
| 2 | String Validation | P06_CharCount.py, P55_Isogram.py, P56_Pangram.py, P57_Anagram.py | |
| 2.1 | └─ Linguistic Patterns | P57_Anagram.py |
✅ Completed Components
| ID | Feature | Summary |
|---|---|---|
| 1 | Program Execution | Implemented: Basic I/O in P01, variable scope (LEGB rule) in P02, and comprehensive list slicing/methods in P03. |
| 1.1 | Basic Python Concepts | Implemented: Functional examples of input, output, and arithmetic operations. |
| 2 | String Validation | Implemented: Character frequency counting and linguistic pattern validation for Isograms, Pangrams, and Anagrams with case-insensitive logic. |
| 2.1 | Linguistic Patterns | Implemented: Anagram, Pangram, and Isogram validation logic. |
🧠 User Story ID: PYTH-001-B — Algorithmic and Mathematical Programs
📝 Feature Completeness
The Requirement was..
Implement sorting (Bubble, Selection, Insertion, Merge, Quick), searching (Sequential, Binary), and math utilities (Factorial, Prime, Patterns, Pascal's Triangle, Perfect Numbers).
This is what is built...
Implemented all requested sorting and searching algorithms, factorial, prime checking, pattern generation, Pascal's Triangle, and Perfect Numbers.
📊 Implementation Status
| ID | Feature/Sub-Feature | Status | Files |
|---|---|---|---|
| 1 | Algorithm Execution | P22_SequentialSearch.py, P23_BinarySearch.py, P24_SelectionSort.py, P25_BubbleSort.py, P26_InsertionSort.py, P27_MergeSort.py, P28_QuickSort.py | |
| 1.1 | └─ Sorting Algorithms | P28_QuickSort.py |
| ID | Feature/Sub-Feature | Status | Files |
|---|---|---|---|
| 2 | Pattern Generation | P04_Factorial.py, P05_Pattern.py, P07_PrimeNumber.py, P58_PerfectNumber.py, P59_PascalTriangle.py | |
| 2.1 | └─ Mathematical Utilities | P59_PascalTriangle.py |
✅ Completed Components
| ID | Feature | Summary |
|---|---|---|
| 1 | Algorithm Execution | Implemented: All 5 sorting algorithms and both searching algorithms (Sequential and Binary) are present and functional. |
| 1.1 | Sorting Algorithms | Implemented: Bubble, Selection, Insertion, Merge, and Quick Sort. |
| 2 | Pattern Generation | Implemented: Factorial, Prime check, 6 star patterns, Pascal's Triangle, and Perfect Number utility. |
| 2.1 | Mathematical Utilities | Implemented: Pascal's Triangle and Perfect Number identification. |
🧠 User Story ID: PYTH-001-C — System Modules and Utility Tools
📝 Feature Completeness
The Requirement was..
Provide examples for time (stopwatch), os (file ops), csv handling, random (guessing game), and argparse (CLI arguments).
This is what is built...
Implemented stopwatch, OS directory operations, CSV read/write, and a random guessing game. Argparse example is present but lacks robust error handling for invalid arguments.
📊 Implementation Status
| ID | Feature/Sub-Feature | Status | Files |
|---|---|---|---|
| 1 | File and System Interaction | P20_OsModule.py, P54_PythonCSV.py | |
| 1.1 | └─ OS and CSV Handling | P54_PythonCSV.py |
| ID | Feature/Sub-Feature | Status | Files |
|---|---|---|---|
| 2 | Utility Execution | P19_SimpleStopWatch.py, P21_GuessTheNumber.py, P29_ArgumentParser.py | |
| 2.1 | └─ CLI Argument Handling | P29_ArgumentParser.py |
❌ Gaps & Issues
🧠 User Story ID: PYTH-001-D — Custom Data Structures
📝 Feature Completeness
The Requirement was..
Implement a custom Array class supporting insertion, deletion, and searching with index out of bounds and empty array handling.
This is what is built...
Implemented a custom Array class with insertion (first, at index, after/before index), deletion, and search. Basic index checks are present.
📊 Implementation Status
| ID | Feature/Sub-Feature | Status | Files |
|---|---|---|---|
| 1 | Array Class Operations | P30_Array.py | |
| 1.1 | └─ Array Deletion Logic | P30_Array.py |
❌ Gaps & Issues
🎯 Conclusion & Final Assessment
Important
🟢 Completed Features: Key completed features include basic Python I/O, variable scope, list operations, string analysis (Isograms, Pangrams, Anagrams), all requested sorting/searching algorithms, and various mathematical utilities like Pascal's Triangle and Perfect Numbers.
🔴 Incomplete Features: Key incomplete features include missing file permission error handling in OS/CSV scripts, lack of robust custom error messages in the argparse utility, and missing empty-state handling in the custom Array class deletion logic.
⚙️ DevOps and Release Automation🟢 Status: Passed🌟 Excellent work! Your code passed the DevOps review. |
🔍 Technical Quality Assessment📋 SummaryThis update adds a large collection of example programs and tools to our system, covering everything from basic math and sorting to file handling and a number guessing game. While these are mostly for testing and education, several programs have logic errors that could cause crashes or incorrect results if used in real scenarios. We need to fix these basic mistakes to ensure the tools work reliably for our team. 💼 Business Impact
🎯 Purpose & Scope
📊 Change AnalysisFiles by Category:
Impact Distribution:
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| File | Status | Description | Impact | Issues Detected |
|---|---|---|---|---|
Programs/Test/P01_hello.py |
Added ( +28/ -0) | Added a basic Python program demonstrating input/output, arithmetic operations, and function calls. | Low – This is a standalone test/example script and does not affect core application functionality. | 1 |
Programs/Test/P06_CharCount.py |
Added ( +18/ -0) | Added a Python program to calculate character frequency in a string. | Low – This is a standalone utility script for character frequency analysis. | 1 |
Programs/Test/P02_VariableScope.py |
Added ( +16/ -0) | Added a Python program demonstrating variable scope rules (LEGB). | Low – This is an educational script and does not affect core application functionality. | 1 |
Programs/Test/P05_Pattern.py |
Added ( +112/ -0) | Added a collection of functions to print various star patterns and a nested function for an alternative approach. | Medium – Provides utility functions for pattern generation but contains a nested function definition that is unreachable and has logic issues. | 1 |
Programs/Test/P07_PrimeNumber.py |
Added ( +23/ -0) | Added a Python program to check if a number is prime. | Medium – The program contains logical flaws that result in incorrect output for specific inputs like the number 2. | 1 |
Programs/Test/P19_SimpleStopWatch.py |
Added ( +45/ -0) | Added a simple stopwatch program using the time module with two implementation variations. | Medium – The program provides a functional stopwatch but contains a logic error in the primary implementation that prevents accurate timing. | 1 |
Programs/Test/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 a standalone educational script and does not impact existing application logic. | 1 |
Programs/Test/P04_Factorial.py |
Added ( +17/ -0) | Added a Python program to calculate the factorial of a number using recursion. | Medium – The program provides a functional factorial calculation but contains a logic flaw regarding negative input handling and unnecessary output. | 2 |
Programs/Test/P20_OsModule.py |
Added ( +13/ -0) | Added a script demonstrating basic os module operations including directory creation and renaming. | Medium – The script performs file system operations that will fail if run multiple times or if the directory structure doesn't match expectations. | 1 |
Programs/Test/P22_SequentialSearch.py |
Added ( +23/ -0) | Added a Python implementation of the sequential search algorithm with iteration tracking. | Low – This is a standalone educational script for sequential search and does not impact existing system functionality. | 1 |
Programs/Test/P23_BinarySearch.py |
Added ( +29/ -0) | Added a Python implementation of the Binary Search algorithm with iteration tracking. | Medium – Provides a functional searching algorithm for sorted lists, though it uses a global variable for iteration counting which may affect thread safety or reentrancy. | 1 |
Programs/Test/P25_BubbleSort.py |
Added ( +24/ -0) | Added a Python implementation of the Bubble Sort algorithm with a main execution block. | Low – The addition provides a functional sorting utility but contains a logical inefficiency in the inner loop range. | 1 |
Programs/Test/P24_SelectionSort.py |
Added ( +21/ -0) | Added a Python implementation of the Selection Sort algorithm with a main execution block. | Low – The changes introduce a standard sorting algorithm implementation for educational or utility purposes. | 1 |
Programs/Test/P26_InsertionSort.py |
Added ( +25/ -0) | Added a Python implementation of the Insertion Sort algorithm. | Medium – Provides a functional sorting utility, but contains a logical inefficiency in the inner loop implementation. | 1 |
Programs/Test/P21_GuessTheNumber.py |
Added ( +24/ -0) | Added a number guessing game program using the random module. | Low – This is a standalone utility script for educational or testing purposes. | 2 |
Programs/Test/P27_MergeSort.py |
Added ( +42/ -0) | Added a Python implementation of the Merge Sort algorithm with a helper merge function. | Medium – The implementation uses inefficient list operations that significantly degrade performance for large datasets. | 1 |
Programs/Test/P29_ArgumentParser.py |
Added ( +21/ -0) | Added a Python script demonstrating the use of argparse to display a list of names when a specific flag is provided. | Low – The script provides a basic CLI utility for displaying a predefined list of names. | 1 |
Programs/Test/P28_QuickSort.py |
Added ( +65/ -0) | Added two implementations of the Quick Sort algorithm: an in-place version and a list-comprehension based version. | Medium – Provides sorting utility functions. The in-place version has a potential infinite loop bug for lists with duplicate elements. | 1 |
Programs/Test/P55_Isogram.py |
Added ( +29/ -0) | Added a Python program to check if a given word or phrase is an isogram. | Low – The changes introduce a new utility function for string analysis, which is functionally correct for its intended purpose. | 1 |
Programs/Test/P56_Pangram.py |
Added ( +36/ -0) | Added two implementations of a pangram checker (a sentence containing every letter of the alphabet) along with test cases. | Low – The changes introduce utility functions for string analysis. The logic is mostly correct but contains some inefficiencies and a minor functional oversight regarding case sensitivity in the second implementation. | 1 |
Programs/Test/P57_Anagram.py |
Added ( +27/ -0) | Added a script to identify anagrams of a word from a given list using character frequency counting. | Medium – Provides a functional utility for anagram detection but contains a logical flaw regarding case-sensitivity in the final return list. | 1 |
Programs/Test/P58_PerfectNumber.py |
Added ( +21/ -0) | Added a Python program to identify perfect numbers by calculating the sum of proper divisors. | Medium – The implementation is functional for small integers but has O(n) time complexity, which will lead to performance degradation for larger perfect numbers like 33,550,336. | 1 |
Programs/Test/P59_PascalTriangle.py |
Added ( +32/ -0) | Added a Python script to generate and print Pascal's Triangle using recursion. | Medium – The script provides a functional implementation of Pascal's Triangle but contains a recursive logic that may hit recursion depth limits for large inputs. | 1 |
Programs/Test/P54_PythonCSV.py |
Added ( +30/ -0) | Added a utility script for reading and writing CSV files using Python's built-in csv module. | Medium – Provides basic CSV handling functionality but contains logic errors that could lead to data corruption or runtime crashes. | 3 |
Programs/Test/P30_Array.py |
Added ( +107/ -0) | Added a custom Array class implementation with basic operations like insertion, deletion, and searching. | Medium – Provides a custom data structure implementation for educational or specific utility purposes. | 3 |
| 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 Input Type
I notice we're directly casting the inputs a and b to integers. If a user enters something that isn't a number (like a string or special character), the program will crash with a ValueError. It's usually safer to wrap these in a try-except block or validate the input first to ensure the program handles non-numeric input gracefully.
| 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.') |
| keys = dict.keys() | ||
| if char in keys: |
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Inefficient Dictionary Key Lookup
JAS - Just a suggestion
I notice we're calling dict.keys() inside the loop. In Python, you can check for membership directly in the dictionary itself, which is much more efficient and readable. This avoids creating a view object on every single iteration of the loop.
| keys = dict.keys() | |
| if char in keys: | |
| if char in dict: |
| def test(): | ||
| #global x | ||
| y = 100 # Local y | ||
| x = 20 |
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Shadowing Global Variable
JAS - Just a suggestion
I notice we're defining x = 20 inside the test() function. This creates a local variable that shadows the global x = 80. While this demonstrates local scope, it can lead to confusion if the intention was to modify the global variable. If we want to update the global x, we should use the global keyword.
| x = 20 | |
| global x | |
| x = 20 |
| pattern5(userInput) | ||
| print() | ||
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| def pattern6(userInput): |
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Unreachable and Redundant Nested Function
I noticed that pattern6 is defined inside the if __name__ == '__main__': block but is never actually called. Additionally, it asks for input() again inside the function, which is redundant since userInput is already passed as an argument. We should move this function to the top level and clean up the input logic to make it usable.
Reasons & Gaps
Reasons
- Nested function definition inside a conditional block makes it unreachable
- Redundant input handling inside a function that already receives parameters
- Inefficient string slicing in a loop for pattern generation
Gaps
- The developer might have intended to call this function later in the script or in a different module
- The nested definition might be a temporary placeholder for a refactoring effort
| if number == 2: | ||
| print(number, 'is a Prime Number') | ||
| if number > 1: |
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Redundant and Conflicting Prime Logic
I notice that when the input is 2, the code prints that it is a prime number twice. This happens because the first if block handles 2, but the second if number > 1 block also executes and triggers the loop logic. We should use an elif or structure the conditions to avoid this double printing and redundant check.
| if number == 2: | |
| print(number, 'is a Prime Number') | |
| if number > 1: | |
| if number == 2: | |
| print(number, 'is a Prime Number') | |
| elif number > 1: |
| global iterations | ||
| iterations = 0 |
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Thread Safety Risk: Global Variable Usage
I notice we're using a global variable iterations to track the search count. While this works for a simple script, it can cause issues if the function is called concurrently or multiple times in a larger application, as the value will be overwritten. We should consider returning the iteration count along with the result for better reliability.
Reasons & Gaps
Reasons
- The function uses a global variable which breaks encapsulation
- Concurrent calls will overwrite the shared state
- Returning multiple values is a Pythonic pattern for this use case
Gaps
- The script is currently a standalone example where global state might be acceptable for simplicity
- The impact is limited unless this code is integrated into a multi-threaded environment
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| def bubbleSort(List): | ||
| for i in range(len(List)): | ||
| for j in range(len(List) - 1, i, -1): |
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Inefficient Inner Loop Range
I notice that the inner loop is iterating from the end of the list down to i. While this correctly sorts the list, it's slightly inefficient because it re-checks elements that are already in their correct positions at the beginning of the list. We can optimize this by iterating from 0 to len(List) - i - 1, which is the standard and more efficient way to implement Bubble Sort.
| for j in range(len(List) - 1, i, -1): | |
| for j in range(0, len(List) - i - 1): |
| if(minimum != i): | ||
| List[i], List[minimum] = List[minimum], List[i] |
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Inefficient Swapping Logic
JAS - Just a suggestion
I noticed we're performing a swap even when the minimum index is already equal to i. While this doesn't break the sorting logic, it adds unnecessary operations to an already O(n^2) algorithm. We should wrap the swap in a conditional check to ensure we only swap when a new minimum is actually found.
| if(minimum != i): | |
| List[i], List[minimum] = List[minimum], List[i] | |
| if minimum != i: | |
| List[i], List[minimum] = List[minimum], List[i] |
| currentNumber = List[i] | ||
| for j in range(i - 1, -1, -1): | ||
| if List[j] > currentNumber : | ||
| List[j], List[j + 1] = List[j + 1], List[j] |
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Inefficient Inner Loop Logic
I notice we're using a swap operation inside the inner loop of our insertion sort. While this technically works, it's not the most efficient way to implement insertion sort. Usually, we shift elements to the right and then place the currentNumber in its final position once. This reduces the number of assignments from three (for a swap) to one (for a shift) per iteration.
| List[j], List[j + 1] = List[j + 1], List[j] | |
| List[j + 1] = List[j] |
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| def guess(): | ||
| ''' This function guesses the randomnly generated number ''' | ||
| randomNumber = random.randint(0, 21) |
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Off-by-One Error in Random Range
I notice a small discrepancy between the game's instructions and the actual logic. The prompt tells users to guess between 0 and 20, but random.randint(0, 21) actually includes 21 as a possible secret number. This means a user following the instructions could never guess 21, even if it's the correct answer! Let's adjust the range to (0, 20) to match the prompt.
| randomNumber = random.randint(0, 21) | |
| randomNumber = random.randint(0, 20) |
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| while True: | ||
| count += 1 | ||
| number = int(input('Enter the number between 0 to 20: ')) |
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Missing Input Validation for Non-Integers
The current implementation uses int(input(...)) directly. If a user accidentally types a letter or a special character instead of a number, the program will crash with a ValueError. To make the game more robust, we should wrap the input in a try-except block to handle invalid inputs gracefully without stopping the game.
| number = int(input('Enter the number between 0 to 20: ')) | |
| try: | |
| number = int(input('Enter the number between 0 to 20: ')) | |
| except ValueError: | |
| print('Invalid input! Please enter a valid integer.') | |
| continue |
| while len(a) != 0 and len(b) != 0: | ||
| if a[0] < b[0]: | ||
| c.append(a[0]) | ||
| a.remove(a[0]) |
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Inefficient List Removal in Merge Function
I notice we're using a.remove(a) and b.remove(b) inside the merge loop. In Python, list.remove() is an O(n) operation because it has to shift all subsequent elements. Since this is inside a loop that runs n times, the merge step becomes O(n²) instead of O(n), making the overall algorithm O(n² log n). We can fix this by using index pointers to track our position, which keeps the merge step at O(n).
| a.remove(a[0]) | |
| i += 1 |
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| def argumentParser(): | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument('-s', '--slowbros', help = 'Names of Slowbros', action = 'store_true') |
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Misleading Help Message for Boolean Flag
JAS - Just a suggestion
I notice we're using action='store_true' for the --slowbros argument, but the help message says 'Names of Slowbros'. This might be a bit confusing for users because it suggests they should provide names as input, when actually it's just a toggle switch. Let's update the help message to clearly state that it displays the names instead.
| parser.add_argument('-s', '--slowbros', help = 'Names of Slowbros', action = 'store_true') | |
| parser.add_argument('-s', '--slowbros', help = 'Display names of Slowbros', action = 'store_true') |
| while myList[right] >= pivot and right >=left: | ||
| right = right -1 |
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Potential Infinite Loop with Duplicate Elements
I notice that the inner while loop for the right pointer uses >= pivot. If the list contains multiple elements equal to the pivot, the left pointer (using <= pivot) and right pointer might not cross correctly or could get stuck in an infinite loop depending on the exact values and indices. We should ensure the pointers always progress to avoid hanging on duplicate values.
| while myList[right] >= pivot and right >=left: | |
| right = right -1 | |
| while right >= left and myList[right] >= pivot: | |
| right = right - 1 |
Reasons & Gaps
Reasons
- Incorrect loop condition order can lead to index errors or logic hangs
- Handling duplicate elements in QuickSort requires strict inequality or consistent pointer movement
- Pointers must be decremented or incremented reliably within the loop body
Gaps
- The specific behavior depends on the interaction with the left pointer's condition
- Python's recursion limit might be hit before a true infinite loop is observable in small lists
| # Convert the word or sentence in lower case letters. | ||
| clean_word = word.lower() | ||
| # Make ann empty list to append unique letters | ||
| letter_list = [] |
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Inefficient Membership Testing in List
JAS - Just a suggestion
I notice we're using a list letter_list to track unique characters. While this works, checking for membership in a list takes O(n) time, making the overall function O(n²). Using a set would be much more efficient as it provides O(1) average time complexity for lookups, which is a great habit to get into for performance.
| letter_list = [] | |
| letter_list = set() |
| print(row[0] + ' ' + row[1]) | ||
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| def csvWrite(filePath, data): | ||
| with open(filePath, 'a') as fd: |
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CSV Writing Logic Error: Missing Newline Parameter
When opening a file for CSV writing in Python 3, we should always specify newline='' in the open() function. Without this, the csv.writer might insert extra blank lines between rows on certain platforms (like Windows) because of how line endings are handled. Adding this ensures consistent behavior across different operating systems.
| with open(filePath, 'a') as fd: | |
| with open(filePath, 'a', newline='') as fd: |
| # data = ['Firstname', 'Lastname'] | ||
| # csvWrite('example.csv', data) | ||
| userInput = input('What is your Fullname? ') | ||
| userInput = userInput.split(' ') |
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Logic Error in User Input Splitting
JAS - Just a suggestion
I see we're splitting the user's full name by a single space. This works for simple names, but it will fail if the user enters multiple spaces or tabs by accident. Using split() without any arguments is much more robust because it handles any amount of whitespace and strips leading/trailing spaces automatically. This will make the data we save much cleaner!
| userInput = userInput.split(' ') | |
| userInput = userInput.split() |
| for i in range(self.myLen(), index - 1, -1): | ||
| self.items[i] = self.items[i - 1] | ||
| self.items[index - 1] = element |
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Incorrect Indexing in insertBeforeIndex
I noticed a small logic error in the insertBeforeIndex method. Currently, it's using index - 1 for both shifting and insertion, which actually overwrites the element before the target index rather than inserting before it. We should use the provided index as the boundary to correctly shift elements and place the new one.
| for i in range(self.myLen(), index - 1, -1): | |
| self.items[i] = self.items[i - 1] | |
| self.items[index - 1] = element | |
| for i in range(self.myLen(), index, -1): | |
| self.items[i] = self.items[i - 1] | |
| self.items[index] = element |
| if (self.myLen() < self.size): | ||
| for i in range(self.myLen(), index + 1, -1): | ||
| self.items[i] = self.items[i - 1] | ||
| self.items[index + 1] = element |
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Potential Out of Bounds in insertAfterIndex
In insertAfterIndex, we're accessing index + 1 without checking if that index is within the array's bounds. If a user tries to insert after the very last element, this will cause an error or overwrite memory unexpectedly. We should add a check to ensure index + 1 is less than self.size.
| self.items[index + 1] = element | |
| if index + 1 < self.size: | |
| self.items[index + 1] = element | |
| else: | |
| print('Target index out of range') |
| def search(self, element): | ||
| if element in self.items: | ||
| position = 0 | ||
| for i in range(self.myLen()): |
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Inaccurate Search Logic
The search method currently only iterates up to myLen(), which counts non-None elements. However, if there are None gaps in the array (like after a deletion), the search might stop early and miss elements that are actually there. It's safer to iterate through the entire self.items list.
| for i in range(self.myLen()): | |
| for i in range(len(self.items)): |
| 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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JAS - Just a suggestion
Single-Character Variable Name
The variable name 'a' is non-descriptive. Use a name that reflects the purpose of the input, such as 'first_number' or 'input_value_a', to improve code readability.
| a=input("Enter a number: ") | |
| first_number = input("Enter a number: ") |
| '''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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| # LEGB Rule: Local, Enclosing, Global, Built-in | ||
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| x = 80 # Global x |
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JAS - Just a suggestion
Single-Character Variable Name
The variable name 'x' is non-descriptive. Using single-character names for global state reduces code readability and maintainability. Consider using a more descriptive name like 'global_count' or 'base_value'.
| x = 80 # Global x | |
| global_value = 80 # Global value |
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| def test(): | ||
| #global x | ||
| y = 100 # Local y |
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JAS - Just a suggestion
Single-Character Variable Name
The variable name 'y' is a single character, which is discouraged for local variables that are not loop counters. A more descriptive name like 'local_offset' or 'increment_value' would improve clarity.
| y = 100 # Local y | |
| local_value = 100 # Local value |
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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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JAS - Just a suggestion
Non-Descriptive Variable Name
The variable name 'myList' is generic and does not describe the content or purpose of the data. Using a more descriptive name like 'numbers' or 'integer_list' improves code maintainability.
| myList = [1, 2, 3, 4, 5, 6, 7, 8, 9] | |
| numbers = |
| #Author: OMKAR PATHAK | ||
| #This program is an example for sequential search | ||
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| def sequentialSearch(target, List): |
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| if __name__ == '__main__': | ||
| List = [1, 2, 3, 4, 5, 6, 7, 8] | ||
| target = 3 | ||
| ans = sequentialSearch(target, List) |
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JAS - Just a suggestion
Vague Generic Name
The variable name ans is a non-standard abbreviation for 'answer'. Use a more descriptive name like result_index or target_position to improve semantic clarity.
| ans = sequentialSearch(target, List) | |
| target_position = sequential_search(target, search_list) |
| #Author: OMKAR PATHAK | ||
| #This programs give an example of binary search algorithm | ||
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| def binarySearch(target, List): |
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Boolean-Returning Function Without Prefix
The function 'binarySearch' returns -1 or an index, but in Python, it's often used in boolean contexts. However, more importantly, it violates the snake_case convention for Python functions.
| def binarySearch(target, List): | |
| def binary_search(target, search_list): |
| #Author: OMKAR PATHAK | ||
| #This programs give an example of binary search algorithm | ||
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| def binarySearch(target, List): |
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Forbidden Generic Variable Name
The parameter name 'List' is a forbidden generic name in Python and shadows the built-in 'list' type. Use a more descriptive name like 'search_list' or 'items'.
| def binarySearch(target, List): | |
| def binarySearch(target, search_list): |
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| #Best O(n^2); Average O(n^2); Worst O(n^2) | ||
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| def selectionSort(List): |
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Non-Standard Function Naming (camelCase)
In Python, function names should follow the snake_case convention. Rename selectionSort to selection_sort to align with PEP 8 standards and improve codebase consistency.
| def selectionSort(List): | |
| def selection_sort(List): |
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| #Best O(n^2); Average O(n^2); Worst O(n^2) | ||
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| def selectionSort(List): |
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| # Best O(n^2); Average O(n^2); Worst O(n^2) | ||
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| def bubbleSort(List): |
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| # Best O(n^2); Average O(n^2); Worst O(n^2) | ||
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| def bubbleSort(List): |
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Forbidden Generic Name
The variable name 'List' is a forbidden generic name and conflicts with the built-in type. Use a more descriptive name like 'input_list' or 'numbers' to avoid shadowing and improve clarity.
| def bubbleSort(List): | |
| def bubbleSort(input_list): |
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| # Best O(n); Average O(n^2); Worst O(n^2) | ||
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| def insertionSort(List): |
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| # Best = Average = Worst = O(nlog(n)) | ||
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| def merge(a,b): |
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Single-Character Parameter Names
The parameters 'a' and 'b' are single-character names which do not describe the data they represent. Using more descriptive names like 'left_half' and 'right_half' improves code readability.
| def merge(a,b): | |
| def merge(left_half, right_half): |
| # A short version of above function: | ||
| def pangram2(sentence): | ||
| alphabet = list(map(chr, range(97, 123))) | ||
| formattedString = ''.join(c for c in sentence if c.isalpha()).lower() |
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Non-Standard Variable Naming
The variable name 'formattedString' uses camelCase, which is non-standard for Python. Additionally, 'formatted' is a generic term; renaming it to 'cleaned_sentence' would better reflect its purpose.
| formattedString = ''.join(c for c in sentence if c.isalpha()).lower() | |
| cleaned_sentence = ''.join(c for c in sentence if c.isalpha()).lower() |
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| from collections import Counter | ||
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| def anagram(word, myList): |
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Non-Descriptive Parameter Name
The parameter name 'myList' uses a generic 'my' prefix and includes the type 'List', which is discouraged. Use a more descriptive name like 'word_list' or 'candidates' to improve clarity.
| def anagram(word, myList): | |
| def anagram(word, word_list): |
| # ( 1 + 2 + 3 + 6 ) / 2 = 6. The next perfect number is 28 = 1 + 2 + 4 + 7 + 14. This is followed by the | ||
| # perfect numbers 496 and 8128. | ||
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| def perfectNumber(number): |
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Boolean Function Naming Convention
The function 'perfectNumber' returns a boolean value but lacks a standard boolean prefix. Renaming it to 'is_perfect_number' improves clarity and follows Python's snake_case convention.
| def perfectNumber(number): | |
| def is_perfect_number(number): |
| # perfect numbers 496 and 8128. | ||
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| def perfectNumber(number): | ||
| sum = 0 |
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| if n == 0: | ||
| return [1] | ||
| else: | ||
| N = pascalRow(n-1) |
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Single-Character Variable Name
The variable name 'N' is a single uppercase letter, which is ambiguous and violates naming standards. Use a descriptive name like 'previous_row' to clarify that it stores the result of the recursive call.
| N = pascalRow(n-1) | |
| previous_row = pascalRow(n-1) |
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