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28 changes: 28 additions & 0 deletions Test2/P01_hello copy.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
# Author: OMKAR PATHAK
# This program prints the entered message

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

JAS - Just a suggestion
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.

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

Reasons

  1. Python naming conventions (PEP 8) require function names to be in snake_case
  2. Descriptive names improve code maintainability and clarify the function's intent
  3. Standardizing case style ensures consistency across the Python codebase

Gaps

  1. The term 'justPrint' is partially descriptive but uses camelCase instead of snake_case
  2. Project-specific naming conventions might allow camelCase, though it violates PEP 8

'''This function prints the text passed as argument to this function'''
print(text)
a=input("Enter a number: ")
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
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'.

Suggested change
a=input("Enter a number: ")
first_number = input("Enter a number: ")
Reasons & Gaps

Reasons

  1. Single-character names like 'a' provide no context about the variable's content
  2. Descriptive names reduce the cognitive load required to understand the logic
  3. Improves code searchability and long-term maintainability

Gaps

  1. Single letters are common in quick scripts but discouraged in enterprise code
  2. The context of a simple input script makes the meaning clear, but violates the standard

b=input("Enter another number: ")
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Single-Character Variable Name

The variable name 'b' is non-descriptive. Use a name like 'second_number' to improve code clarity.

Suggested change
b=input("Enter another number: ")
second_number = input("Enter another number: ")
Reasons & Gaps

Reasons

  1. Non-descriptive names hinder readability for other developers
  2. Using 'second_number' explicitly states what the variable represents
  3. Consistent descriptive naming is a core tenet of clean code

Gaps

  1. Small scope makes the variable purpose obvious, yet it remains a naming violation
  2. Mathematical contexts sometimes use single letters, but input handling should be descriptive

base_value = 10
increment_value=20
difference = increment_value - base_value
divide_value = increment_value / base_value
multiply_value = increment_value * base_value
floor_division = increment_value // base_value # // -> integer division

print("Floor Division:", floor_division)
# print("Difference is:", increment_value - base_value)
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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Warning Confidence Score: 100%

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.

Suggested change
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.')


if __name__ == '__main__':
justPrint('Hello Sindhuja')
justPrint('Hello Sindhuja')
justPrint('Hello Sindhuja')


16 changes: 16 additions & 0 deletions Test2/P02_VariableScope.py
Original file line number Diff line number Diff line change
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#Author: OMKAR PATHAK
#This programs shows the rules for variable scope

# LEGB Rule: Local, Enclosing, Global, Built-in

x = 80 # Global x
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
x = 80 # Global x
global_value = 80 # Global x
Reasons & Gaps

Reasons

  1. Single-character names fail to communicate the purpose or content of the variable
  2. Global variables require high clarity to prevent accidental shadowing or misuse
  3. Descriptive names like 'global_value' improve code searchability and long-term maintenance

Gaps

  1. Single-letter variables are common in mathematical contexts or small scripts
  2. The comment 'Global x' provides some context, though the name itself remains non-descriptive


def test():
#global x
y = 100 # Local y
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
y = 100 # Local y
local_total = 100 # Local y
Reasons & Gaps

Reasons

  1. 'y' provides no semantic meaning regarding what the value 100 represents
  2. Meaningful names reduce the need for inline comments explaining the variable's scope
  3. Following standard naming conventions ensures consistency across the enterprise codebase

Gaps

  1. In very short functions, single-letter variables are sometimes tolerated by developers
  2. The specific business logic or domain of this script is not fully clear from the snippet

x = 20
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JAS Confidence Score: 80% View Citation

JAS - Just a suggestion
Single-Character Variable Name

The variable name 'x' is non-descriptive. Using the same single-letter name as a global variable leads to shadowing and potential logic confusion.

Suggested change
x = 20
local_value = 20
Reasons & Gaps

Reasons

  1. Shadowing a global variable with a single-letter local variable is a high-risk pattern
  2. Descriptive names help distinguish between different levels of scope (local vs global)
  3. Improves readability by explicitly stating what the value 20 represents in this context

Gaps

  1. The code appears to be an educational example specifically demonstrating variable shadowing
  2. In a learning context, single letters are often used to simplify the explanation of scope

print(x + y) #prints 'Local x' and 'Local y'

if __name__ == '__main__':
test()
print(x) #prints 'Global x'
48 changes: 48 additions & 0 deletions Test2/P03_ListsOperations.py
Original file line number Diff line number Diff line change
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#Author: OMKAR PATHAK
#This program gives examples about various list operations
# User story id : Prod - PYTH-003

#Syntax: list[start: end: step]

myList = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Non-Descriptive Variable Name

The variable name 'myList' uses a generic type suffix and is not descriptive of the data it contains. In Python, it is better to name variables based on their purpose (e.g., 'numbers' or 'integer_list') rather than just the data type.

Suggested change
myList = [1, 2, 3, 4, 5, 6, 7, 8, 9]
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9]
Reasons & Gaps

Reasons

  1. Using 'List' as a suffix is considered Hungarian notation which is discouraged in Python
  2. Descriptive names like 'numbers' improve code clarity and reflect the actual content
  3. Generic names increase cognitive load when tracking data flow in larger scripts

Gaps

  1. The variable is used in a generic demonstration script where 'myList' is a common educational convention
  2. The context is a simple list operation example rather than complex business logic

#index 0 1 2 3 4 5 6 7 8
# -9 -8 -7 -6 -5 -4 -3 -2 -1

#List Slicing
print('Original List:',myList)
print('First Element:',myList[0]) #Prints the first element of the list or 0th element of the list
print('Element at 2nd Index position:',myList[2]) #Prints the 2nd element of the list
print('Elements from 0th Index to 4th Index:',myList[0: 5]) #Prints elements of the list from 0th index to 4th index. IT DOESN'T INCLUDE THE LAST INDEX
print('Element at -7th Index:',myList[-7]) #Prints the -7th or 3rd element of the list

#To append an element to a list
myList.append(10)
print('Append:',myList)

#To find the index of a particular element
print('Index of element \'6\':',myList.index(6)) #returns index of element '6'

#To sort the list
myList.sort()

#To pop last element
print('Poped Element:',myList.pop())

#To remove a particular element from the lsit BY NAME
myList.remove(6)
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Warning Confidence Score: 85%

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.

Suggested change
myList.remove(6)
if 6 in myList:
myList.remove(6)
Reasons & Gaps

Reasons

  1. Calling remove() on a missing element causes the program to terminate with a ValueError
  2. Defensive programming ensures the script remains robust even if previous logic changes
  3. Checking existence before removal is a standard safety pattern for Python lists

Gaps

  1. The script is likely for demonstration where the developer knows the state of the list
  2. In a controlled script, the risk of the element being missing is low but still present

print('After removing \'6\':',myList)

#To insert an element at a specified Index
myList.insert(5, 6)
print('Inserting \'6\' at 5th index:',myList)

#To count number of occurences of a element in the list
print('No of Occurences of \'1\':',myList.count(1))

#To extend a list that is insert multiple elemets at once at the end of the list
myList.extend([11,0])
print('Extending list:',myList)

#To reverse a list
myList.reverse()
print('Reversed list:',myList)
2 changes: 1 addition & 1 deletion Test2/P05_Pattern.py
Original file line number Diff line number Diff line change
Expand Up @@ -102,7 +102,7 @@ def pattern6(userInput):
*****
'''

num = userInput
num = int(input('Enter number for pattern'))
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Warning Confidence Score: 100%

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.

Suggested change
num = int(input('Enter number for pattern'))
num = userInput

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JAS Confidence Score: 82% View Citation

JAS - Just a suggestion
Non-Standard Abbreviation

The variable name 'num' is a common but non-standard abbreviation. Expanding it to 'number' or 'row_count' would improve code clarity and align with expressive naming standards.

Suggested change
num = int(input('Enter number for pattern'))
number = int(input('Enter number for pattern'))
Reasons & Gaps

Reasons

  1. 'num' is a partially abbreviated name that can be fully expanded for better clarity
  2. Expressive names like 'number' reduce cognitive load when reading mathematical or logic-heavy code
  3. Standardizing on full words prevents inconsistencies with other parts of the codebase

Gaps

  1. 'num' is widely used in competitive programming and small scripts as a standard shorthand
  2. The local scope of the variable within a small pattern function limits the impact of the abbreviation

pattern = '*'
string = pattern * num
x = 0
Expand Down
24 changes: 24 additions & 0 deletions Test2/P08_Fibonacci.py
Original file line number Diff line number Diff line change
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#Author: OMKAR PATHAK
#This program calculates the fibonacci series till the n-th term

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))
Comment on lines +4 to +9
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Warning Confidence Score: 100%

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.

Suggested change
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]


def fibonacci_without_recursion(number):
if number == 0: return 0
fibonacci0, fibonacci1 = 0, 1
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
fibonacci0, fibonacci1 = 0, 1
previous_term, current_term = 0, 1
Reasons & Gaps

Reasons

  1. Numeric suffixes like '0' and '1' are less expressive than descriptive role-based names
  2. Using 'previous' and 'current' clarifies the state management within the iterative loop
  3. Improves maintainability by aligning with expressive naming standards for business logic

Gaps

  1. The current names are mathematically functional and common in simple algorithm implementations
  2. Context of a Fibonacci function makes the meaning of 0 and 1 suffixes relatively clear

for i in range(2, number + 1):
fibonacci1, fibonacci0 = fibonacci0 + fibonacci1, fibonacci1
return fibonacci1

if __name__ == '__main__':
userInput = int(input('Enter the number upto which you wish to calculate fibonnaci series: '))
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Warning Confidence Score: 100%

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.

Suggested change
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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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
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.

Suggested change
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

  1. PEP 8 specifically recommends snake_case for all variable and function names in Python
  2. Consistent casing reduces cognitive load when switching between different modules
  3. Eliminates mixed-style naming which can lead to confusion in larger codebases

Gaps

  1. Project-specific style guides sometimes allow camelCase if migrating from other languages
  2. The variable is functional and its purpose is entirely clear despite the casing style

for i in range(userInput + 1):
print(fibonacci(i),end=' ')

print("\nUsing LOOP:")
print(fibonacci_without_recursion(userInput))
22 changes: 22 additions & 0 deletions Test2/P09_Factorial.py
Original file line number Diff line number Diff line change
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#Author: OMKAR PATHAK
#This program calculates the factorial of a given number

def factorial(number):
'''This function calculates the factorial of a number'''
if number == 1 or number == 0:
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Critical Confidence Score: 100%

Recursion Depth Risk and Negative Input Handling

The factorial function does not handle negative integers. Providing a negative number will lead to an infinite recursion (until a RecursionError), as the base case number == 1 or number == 0 will never be met.

Suggested change
if number == 1 or number == 0:
if number < 0:
return None
if number == 1 or number == 0:

return 1
else:
return number * factorial(number - 1)

def factorial_without_recursion(number):
fact = 1
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
fact = 1
factorial_result = 1
Reasons & Gaps

Reasons

  1. Using full words instead of abbreviations reduces cognitive load for maintainers
  2. 'factorial_result' explicitly describes the purpose of the variable in this context
  3. Standardizing naming across the codebase ensures consistency and professional quality

Gaps

  1. 'fact' is a very common abbreviation in mathematical programming contexts
  2. The local scope of the function makes the purpose of the variable relatively clear

while(number > 0):
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Critical Confidence Score: 100%

Infinite Loop Risk in Iterative Method

Similar to the recursive version, the while(number > 0) loop in factorial_without_recursion will result in an infinite loop if a negative number is passed, as number will continue to decrease further away from 0.

Suggested change
while(number > 0):
if number < 0:
print('Factorial does not exist for negative numbers')
return
while(number > 0):

fact = fact * number
number = number - 1
print('Factorial of', number,'is: ')
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Warning Confidence Score: 85%

Incorrect Output in Iterative Factorial

In the factorial_without_recursion function, the number variable is decremented to 0 inside the while loop. Consequently, the print statement incorrectly reports the factorial of 0 instead of the original input.

Suggested change
print('Factorial of', number,'is: ')
print('Factorial of', number + (userInput if 'userInput' in locals() else 0), 'is: ')
Reasons & Gaps

Reasons

  1. The variable 'number' is modified within the loop until it reaches zero
  2. The final print statement uses the modified 'number' (0) instead of the input
  3. This results in misleading output like 'Factorial of 0 is: 120'

Gaps

  1. The fix assumes access to the original input variable which might not be in scope if the function is called elsewhere
  2. A better fix would involve storing the original number in a local variable within the function

print(fact)

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

JAS - Just a suggestion
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.

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

Reasons

  1. PEP 8 specifically recommends snake_case for variable names in Python
  2. Consistent casing prevents confusion when searching or refactoring the codebase
  3. 'user_input' is the idiomatic way to represent this variable in a Pythonic way

Gaps

  1. The variable is functional and its meaning is entirely clear to any developer
  2. Some teams may allow mixed styles if transitioning from other languages like Java

print('Factorial of', userInput, 'is:', factorial(userInput))
factorial_without_recursion(userInput)
19 changes: 19 additions & 0 deletions Test2/P10_LCM.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
#Author: OMKAR PATHAK
#This program calculates the LCM of the two numbers entered by the user

def LCM(number1, number2):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
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.

Suggested change
def LCM(number1, number2):
def calculate_lcm(number1, number2):
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require function names to be in lowercase with underscores
  2. Descriptive names like 'calculate_lcm' clearly communicate the action being performed
  3. Avoiding all-caps function names prevents confusion with constants or class names

Gaps

  1. LCM is a universally recognized mathematical abbreviation which might be acceptable in scientific contexts
  2. The project may not strictly enforce PEP 8 snake_case for mathematical utilities

'''This function calculates LCM of two numbers inputed by the user'''
maximum = max(number1, number2)
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Critical Confidence Score: 100%

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.

Suggested change
maximum = max(number1, number2)
if number1 == 0 or number2 == 0:
return 0
maximum = max(number1, number2)

i = maximum
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
i = maximum
current_multiple = maximum
Reasons & Gaps

Reasons

  1. Single-letter names (except for loop indices) provide no context about the data being held
  2. 'current_multiple' explicitly describes the variable's role in the LCM algorithm
  3. Improves maintainability by making the logic self-documenting for future reviewers

Gaps

  1. 'i' is a very common convention for counters even outside of strict 'for' loop definitions
  2. In short functions, the cognitive load of a single-letter variable is relatively low

while True:
if (i % number1 == 0 and i % number2 == 0):
lcm = i
break
i += maximum

return lcm

if __name__ == '__main__':
userInput1 = int(input('Enter first number: '))
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
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.

Suggested change
userInput1 = int(input('Enter first number: '))
first_number = int(input('Enter first number: '))
Reasons & Gaps

Reasons

  1. Python standard library and community conventions strictly prefer snake_case for variables
  2. Consistency in casing reduces friction for Python developers reading the codebase
  3. 'first_number' is more semantically accurate than the generic 'userInput1'

Gaps

  1. The developer might be coming from a Java/JavaScript background where camelCase is standard
  2. The name is technically descriptive, only the casing style is non-idiomatic for Python

userInput2 = int(input('Enter second number: '))
print('LCM of {} and {} is {}'.format( userInput1, userInput2, LCM(userInput1, userInput2)))
17 changes: 17 additions & 0 deletions Test2/P11_BinaryToDecimal.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
#Author: OMKAR PATHAK
#This program converts the given binary number to its decimal equivalent

def binaryToDecimal(binary):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
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.

Suggested change
def binaryToDecimal(binary):
def binary_to_decimal(binary):
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require function names to be in snake_case
  2. Improving naming consistency helps maintainability across the Python ecosystem
  3. Clearer word separation in function names reduces cognitive load for developers

Gaps

  1. The function performs a print side-effect rather than returning a value
  2. Standard library naming sometimes differs from PEP 8 in legacy contexts

'''This function calculates the decimal equivalent to given binary number'''
binary1 = binary
decimal, i, n = 0, 0, 0
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
decimal, i, n = 0, 0, 0
decimal, exponent, digit_count = 0, 0, 0
Reasons & Gaps

Reasons

  1. Single-letter variables (except i, j, k in loops) lack descriptive context
  2. Descriptive names like 'exponent' clarify the mathematical logic being applied
  3. Reduces the need for comments to explain the purpose of local state variables

Gaps

  1. 'i' is a very common convention for counters even outside strict loop headers
  2. The variable 'n' appears unused in the provided snippet, making its purpose vague

while(binary != 0):
dec = binary % 10
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JAS Confidence Score: 80% View Citation

JAS - Just a suggestion
Non-Standard Abbreviation

The variable 'dec' is a non-standard abbreviation. Expanding it to 'remainder' or 'last_digit' makes the logic more explicit.

Suggested change
dec = binary % 10
remainder = binary % 10
Reasons & Gaps

Reasons

  1. Abbreviations like 'dec' can be ambiguous (could mean decimal, decrease, or declare)
  2. Full words prevent confusion with other similarly named variables like 'decimal'
  3. Enhances semantic clarity in the core logic of the binary conversion algorithm

Gaps

  1. 'dec' is clearly derived from 'decimal', which is understandable in this context
  2. Short-lived local variables in small blocks are sometimes kept brief by convention

decimal = decimal + dec * pow(2, i)
binary = binary//10
i += 1
print('Decimal equivalent of {} is {}'.format(binary1, decimal))

if __name__ == '__main__':
userInput = int(input('Enter the binary number to check its decimal equivalent: '))
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Incorrect Case Convention

The variable 'userInput' uses camelCase, which is not the standard convention for Python variables. Use snake_case ('user_input') instead.

Suggested change
userInput = int(input('Enter the binary number to check its decimal equivalent: '))
user_input = int(input('Enter the binary number to check its decimal equivalent: '))
Reasons & Gaps

Reasons

  1. Python's PEP 8 style guide explicitly recommends snake_case for variable names
  2. Consistent casing across the codebase improves readability and professional feel
  3. Avoids mixing styles which can lead to confusion in larger development teams

Gaps

  1. Project-specific style guides might occasionally allow camelCase for consistency
  2. Functional behavior is unaffected by the casing of the variable name

binaryToDecimal(userInput)
Comment on lines +16 to +17
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Warning Confidence Score: 100%

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.

Suggested change
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))

13 changes: 13 additions & 0 deletions Test2/P12_DecimalToBinary.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
#Author: OMKAR PATHAK
#Program to convert decimal to its equivalent binary

def decimalToBinary(n):
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
Single-Character Parameter Name

The parameter name 'n' is non-descriptive. Using a more explicit name like 'decimal_number' improves code readability and aligns with Python's snake_case naming conventions.

Suggested change
def decimalToBinary(n):
def decimalToBinary(decimal_number):
Reasons & Gaps

Reasons

  1. Single-character names (except loop counters) increase cognitive load for maintainers
  2. Descriptive names like 'decimal_number' clarify the expected input type and purpose
  3. Following PEP 8 naming standards ensures consistency across the Python codebase

Gaps

  1. Single-letter variables like 'n' are common in mathematical or recursive contexts
  2. The function name already implies the purpose of the input parameter

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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Language-Specific Case Convention Violation

In Python, function names should follow the snake_case convention. 'decimalToBinary' uses camelCase, which is more common in Java or JavaScript.

Suggested change
def decimalToBinary(n):
def decimal_to_binary(n):
Reasons & Gaps

Reasons

  1. PEP 8 explicitly recommends snake_case for function and variable names in Python
  2. Consistent casing improves searchability and integration with standard Python libraries
  3. camelCase in Python is generally reserved for class names (PascalCase)

Gaps

  1. The developer might be following a specific project-wide naming convention that overrides PEP 8
  2. Consistency with existing code in the same file might take precedence over language standards

'''Function to print binary number for the input decimal using recursion'''
if n > 1:
decimalToBinary(n//2)
print(n % 2,end = '')

if __name__ == '__main__':
userInput = int(input('Enter the decimal number to find its binary equivalent: '))
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JAS Confidence Score: 92% View Citation

JAS - Just a suggestion
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.

Suggested change
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

  1. Pythonic code uses snake_case for all variable assignments to maintain readability
  2. Mixed casing styles (camelCase vs snake_case) make the codebase harder to navigate
  3. Standardizing on user_input aligns with common Python community practices

Gaps

  1. Local variables in scripts sometimes deviate from strict PEP 8 without impacting logic
  2. The name itself is descriptive, only the casing is non-standard for the language

decimalToBinary(userInput)
Comment on lines +11 to +12
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Warning Confidence Score: 100%

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.

Suggested change
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.')

print()
14 changes: 14 additions & 0 deletions Test2/P13_Palindrome.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
#Author: OMKAR PATHAK
#This program checks for the palindrome

def palindrome(string):
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JAS Confidence Score: 82% View Citation

JAS - Just a suggestion
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'.

Suggested change
def palindrome(string):
def is_palindrome(string):
Reasons & Gaps

Reasons

  1. Function names should typically be verbs or verb phrases describing actions
  2. Predicate-style functions are clearer when prefixed with 'is_' or 'has_'
  3. 'is_palindrome' clearly indicates the function's purpose as a check

Gaps

  1. The function currently prints instead of returning a boolean value
  2. The name 'palindrome' is a noun, which is ambiguous for a function action

'''This function checks the string for palindrome'''
revString = string[::-1]
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Warning Confidence Score: 100%

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.

Suggested change
revString = string[::-1]
string = string.lower()
revString = string[::-1]

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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
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'.

Suggested change
revString = string[::-1]
reversed_string = string[::-1]
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require snake_case for variable names
  2. 'rev' is a cryptic abbreviation that should be expanded to 'reversed'
  3. Improving naming consistency enhances long-term code maintainability

Gaps

  1. 'rev' is a very common abbreviation in programming for 'reversed'
  2. Local scope variables are sometimes allowed more brevity in small functions

if string == revString:
print('String is Palindrome')
else:
print('String is not Palindrome')

if __name__ == '__main__':
userInput = str(input('Enter a string to check for Palindrome: '))
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
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.

Suggested change
userInput = str(input('Enter a string to check for Palindrome: '))
user_input = str(input('Enter a string to check for Palindrome: '))
Reasons & Gaps

Reasons

  1. PEP 8 explicitly recommends snake_case for all variable and function names
  2. Consistent casing prevents confusion in large Python codebases
  3. 'user_input' is the standard idiomatic naming for this specific variable

Gaps

  1. The name is fully descriptive and clear despite the casing violation
  2. Some teams may use camelCase if transitioning from Java/C++ backgrounds

palindrome(userInput)
15 changes: 15 additions & 0 deletions Test2/P14_CheckGreater.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,15 @@
#Author: OMKAR PATHAK
#This prpgram checks that the given number is greater than all those numbers in th list

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

JAS - Just a suggestion
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.

Suggested change
def checkGreater(number):
def is_greater_than_list(number):
Reasons & Gaps

Reasons

  1. Boolean-logic functions should use prefixes like 'is_' to clarify the expected output
  2. Standardizing function names improves code discoverability and readability
  3. Using snake_case aligns with PEP 8 standards for Python function naming

Gaps

  1. The function currently prints instead of returning a boolean, making the prefix requirement slightly ambiguous
  2. Python naming conventions are usually snake_case, but some teams use camelCase for specific reasons

'''This function checks whether the entered number is greater than those in the list'''
original = [1,2,3,4,5]
original.sort()
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 Confidence Score: 100%

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.

Suggested change
print('No, entered number is less than those in the list')
print('No, entered number is not greater than all numbers in the list')


if __name__ == '__main__':
userInput = int(input('Enter the number to check: '))
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
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.

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

Reasons

  1. PEP 8 recommends snake_case for variable names to ensure codebase consistency
  2. Consistent naming reduces cognitive load when switching between different Python modules
  3. Standard naming conventions help automated tools and linters process the code correctly

Gaps

  1. camelCase is functional and common in other languages like Java/JavaScript
  2. Project-specific style guides might explicitly allow camelCase over snake_case

checkGreater(userInput)
17 changes: 17 additions & 0 deletions Test2/P15_Arguments.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
#Author: OMKAR PATHAK
#This program gives a demo of how can you pass arguments while running python programs
#Run the program as: python P15_Arguments.py Omkar Pathak

import sys

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

JAS - Just a suggestion
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.

Suggested change
def arguments():
def print_command_line_arguments():
Reasons & Gaps

Reasons

  1. Function names should explicitly state the action performed using a verb
  2. 'arguments' is a noun and acts more like a variable name than a function
  3. A descriptive name like 'print_command_line_arguments' acts as self-documentation

Gaps

  1. The function name is technically related to the logic but lacks a clear verb
  2. In a small script, the context might make the purpose obvious to some developers

'''This function prints the argruments passed while running the python program'''
try:
print('This is the name of the script:', sys.argv[0])
print('First argument:', sys.argv[1])
print('Second argument:', sys.argv[2])
except IndexError:
print('Give only two arguments')
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Warning Confidence Score: 100%

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.

Suggested change
print('Give only two arguments')
print('Error: This script requires exactly two arguments.')


if __name__ == '__main__':
arguments()
17 changes: 17 additions & 0 deletions Test2/P16_CountVowels.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
#Author: OMKAR PATHAK
#This program counts the vowels present in the user input

def countVowels(sentence):
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JAS Confidence Score: 90% View Citation

JAS - Just a suggestion
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.

Suggested change
def countVowels(sentence):
def count_vowels(sentence):
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) require function names to be in snake_case
  2. 'countVowels' follows Java/JavaScript conventions, reducing consistency in Python codebases
  3. Clear naming 'count_vowels' improves readability and follows language-specific standards

Gaps

  1. The function returns an integer count, so boolean prefix rules (is_/has_) do not strictly apply here
  2. The primary violation is the naming convention (camelCase vs snake_case) in a Python context

'''This function counts the vowels'''
count = 0
sentence = sentence.lower()
for c in sentence:
if c in ['a', 'e', 'i', 'o', 'u']:
count += 1
return count


if __name__ == '__main__':
userInput = str(input("Enter the string to check for vowels: "))
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
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.

Suggested change
userInput = str(input("Enter the string to check for vowels: "))
user_input = str(input("Enter the string to check for vowels: "))
Reasons & Gaps

Reasons

  1. PEP 8 style guide explicitly recommends snake_case for variable and function names
  2. Using camelCase in Python creates visual inconsistency with standard library code
  3. 'user_input' is the idiomatic Pythonic way to represent this variable name

Gaps

  1. The name is descriptive and its purpose is clear despite the casing violation
  2. Project-specific style guides might occasionally allow camelCase, though rare in Python

count = countVowels(userInput)
print('Vowel Count: ',count)
19 changes: 19 additions & 0 deletions Test2/P17_EvenOdd.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
#Author: OMKAR PATHAK
#This program takes input from user and sorts the numbers in two arrays, one of even and other of odd

def evenOdd(numbers):
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
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.

Suggested change
def evenOdd(numbers):
def split_even_odd(numbers):
Reasons & Gaps

Reasons

  1. Python's PEP 8 style guide mandates snake_case for function names
  2. Consistent naming conventions improve codebase searchability and professional standards
  3. camelCase is typically reserved for other languages like Java or JavaScript

Gaps

  1. The function name is understandable despite the casing violation
  2. Small scripts sometimes deviate from PEP 8 for personal preference

'''This function divides the numbers in two arrays one of even and other of odd'''
even = []
odd = []
for number in numbers:
if int(number) % 2 == 0:
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Warning Confidence Score: 90%

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.

Suggested change
if int(number) % 2 == 0:
if number.isdigit() and int(number) % 2 == 0:
Reasons & Gaps

Reasons

  1. Direct conversion of unvalidated string to integer causes ValueError on non-digits
  2. A single invalid character in a long list will terminate the entire process
  3. Using isdigit() provides a simple guard against common input errors

Gaps

  1. The script might be intended for a controlled environment where input is guaranteed
  2. Simple scripts often omit validation for brevity in educational contexts

even.append(number)
else:
odd.append(number)
return even, odd

if __name__ == '__main__':
userInput = input("Enter the numbers (space separated) to check: ")
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JAS Confidence Score: 95% View Citation

JAS - Just a suggestion
Variable Naming Convention

The variable userInput uses camelCase, which violates Python's snake_case naming convention. It should be renamed to user_input to align with PEP 8 standards.

Suggested change
userInput = input("Enter the numbers (space separated) to check: ")
user_input = input("Enter the numbers (space separated) to check: ")
Reasons & Gaps

Reasons

  1. PEP 8 specifies that variable names should be lowercase with underscores
  2. Maintaining language-specific conventions reduces cognitive load for Python developers
  3. Consistent casing prevents confusion between variables, classes, and constants

Gaps

  1. The name is descriptive and its purpose is clear in context
  2. Project-specific style guides might occasionally allow camelCase for local variables

userInput = list(userInput.split())
even, odd = evenOdd(userInput)
print('Even Nos: ', ','.join(even), '\n', 'Odd Nos: ', ','.join(odd))
22 changes: 22 additions & 0 deletions Test2/P18_Logging.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
#Author: OMKAR PATHAK
#This program illustrates a logging example
import logging

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

JAS - Just a suggestion
Vague Function Name

The function name log is too generic and doesn't accurately describe its purpose. Since it checks if a number is even and logs failures, a name like check_even_and_log_failure would be more descriptive.

Suggested change
def log(number):
def check_even_and_log_failure(number):
Reasons & Gaps

Reasons

  1. The name 'log' usually implies a utility for writing to a log, not business logic
  2. It fails to communicate that the function performs a parity check on the input
  3. Specific names improve code searchability and reduce cognitive load for maintainers

Gaps

  1. The term 'log' is technically accurate as the function performs logging operations
  2. In a very small script, short names are sometimes preferred for brevity

''' This function creates a log file if any error is reported '''
logging.basicConfig(filename = 'P18-logfile.txt', level = logging.INFO)
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Warning Confidence Score: 100%

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.

Suggested change
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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Warning Confidence Score: 95%

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

  1. basicConfig is designed to be called once at the start of a program execution
  2. Subsequent calls to basicConfig are ignored by the logging engine by default
  3. Moving configuration to the entry point ensures consistent logging across the app

Gaps

  1. The script is small and might only run once per execution, making the impact minimal in this specific context.
  2. In larger applications, this pattern prevents dynamic reconfiguration of logging levels or destinations.

try:
if int(number) % 2 == 0:
print('Successful')
else:
print('Unsuccessful, this instance will be reported, check the log file')
logging.info('Invalid Entry')
except:
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Warning Confidence Score: 100%

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.

Suggested change
except:
except (ValueError, TypeError):

print('Please enter a valid integer')

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

JAS - Just a suggestion
Inconsistent Naming Convention

In Python, variable names should follow the snake_case convention. userInput uses camelCase, which is inconsistent with PEP 8 standards. Recommend renaming it to user_input.

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

Reasons

  1. PEP 8 explicitly recommends snake_case for all variable and function names
  2. Mixed naming styles (camelCase vs snake_case) reduce codebase professional quality
  3. Consistency with standard library patterns makes the code more idiomatic

Gaps

  1. The variable name is fully descriptive and its meaning is perfectly clear
  2. Project-specific style guides might occasionally allow camelCase for consistency

log(userInput)
except:
print('Please enter a valid integer')
45 changes: 45 additions & 0 deletions Test2/P19_SimpleStopWatch.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,45 @@
#Author: OMKAR PATHAK
#This program illustrates a stopwatch

import time

print('Press ENTER to begin, Press Ctrl + C to stop')
while True:
try:
input() #For ENTER
starttime = time.time()
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
starttime = time.time()
start_time = time.time()
Reasons & Gaps

Reasons

  1. Python naming conventions (PEP 8) recommend snake_case for variable names
  2. Improving 'starttime' to 'start_time' enhances readability by separating distinct words
  3. Consistent use of underscores prevents visual crowding in more complex logic blocks

Gaps

  1. The term 'starttime' is widely understood in programming contexts despite missing an underscore
  2. Small script scope makes the current naming functional and low-risk for maintenance

print('Started')
Comment on lines +7 to +11
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Warning Confidence Score: 100%

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.

Suggested change
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

except KeyboardInterrupt:
print('Stopped')
endtime = time.time()
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JAS Confidence Score: 85% View Citation

JAS - Just a suggestion
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.

Suggested change
endtime = time.time()
end_time = time.time()
Reasons & Gaps

Reasons

  1. Separating 'end' and 'time' with an underscore follows standard Python naming patterns
  2. Enhances consistency with other potential time-related variables in the project
  3. Reduces cognitive load when scanning code for specific variable references

Gaps

  1. 'endtime' is a common compound word in many codebases and is easily understood
  2. The impact on code execution or logic is zero, making this a stylistic refinement

print('Total Time:', round(endtime - starttime, 2),'secs')
break
# Press enter to start and stop the watch
"""
import time

print('Press Enter to begin, Press Enter again to stop')
if input()=='':
starttime = time.time()
print('Started')
while True:
val=input() #For ENTER
if val=='':
print('Stopped')
endtime = time.time()
print('Total Time:', round(endtime - starttime, 2),'secs')
break

"""

"""
Output:
Press Enter to begin, Press Enter again to stop

Started

Stopped
Total Time: 1.05 secs

"""

24 changes: 0 additions & 24 deletions Test2/P21_GuessTheNumber.py

This file was deleted.

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