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Calculator improvements 1735907862 #27

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9c3170a
Add calculator.py for review
nazgul-beta Jan 3, 2025
0f8031d
Add utils.py for review
nazgul-beta Jan 3, 2025
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20 changes: 20 additions & 0 deletions calculator.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,20 @@

class Calculator:
def add(self, a, b):
# No type checking or validation
return a + b
Comment on lines +3 to +5
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🛠️ Refactor suggestion

Add input validation and documentation.

The method lacks type checking and documentation as noted in the comment.

-    def add(self, a, b):
-        # No type checking or validation
-        return a + b
+    def add(self, a, b):
+        """Add two numbers and return the result."""
+        if not all(isinstance(x, (int, float)) for x in [a, b]):
+            raise TypeError("Both operands must be numbers")
+        return a + b
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def add(self, a, b):
# No type checking or validation
return a + b
def add(self, a, b):
"""Add two numbers and return the result."""
if not all(isinstance(x, (int, float)) for x in [a, b]):
raise TypeError("Both operands must be numbers")
return a + b
🤖 Prompt for AI Agents 
In calculator.py around lines 3 to 5, the add method lacks input validation and
documentation. Add type hints for parameters and return type, include a
docstring explaining the method's purpose and parameters, and implement input
validation to ensure both a and b are numbers before performing the addition.

Comment on lines +3 to +5
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Identified potential vulnerability:
The add method lacks type checking or validation, which can lead to unexpected behavior if non-numeric inputs are provided.

Suggested change
def add(self, a, b):
# No type checking or validation
return a + b
def add(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise TypeError("Both arguments must be numbers")
return a + b

Comment on lines +3 to +5
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Robustness

The add method lacks type checking or validation, which could lead to unexpected behavior if non-numeric inputs are provided.

Code Suggestion or Comments 
def add(self, a, b):
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a + b

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Comment on lines +3 to +5
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Robustness

The add method lacks type checking or validation, which could lead to unexpected behavior if non-numeric inputs are provided.

Code Suggestion or Comments 
def add(self, a, b):
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a + b

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Comment on lines +3 to +5
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Robustness

The add method lacks type checking or validation, which could lead to unexpected behavior if non-numeric inputs are provided.

Code Suggestion or Comments 
def add(self, a, b):
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a + b

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def subtract(self, a, b):
# Could use better error handling
return a - b
Comment on lines +7 to +9
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🛠️ Refactor suggestion

Add input validation and documentation.

Similar to the add method, this needs proper validation and documentation.

-    def subtract(self, a, b):
-        # Could use better error handling
-        return a - b
+    def subtract(self, a, b):
+        """Subtract b from a and return the result."""
+        if not all(isinstance(x, (int, float)) for x in [a, b]):
+            raise TypeError("Both operands must be numbers")
+        return a - b
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def subtract(self, a, b):
# Could use better error handling
return a - b
def subtract(self, a, b):
"""Subtract b from a and return the result."""
if not all(isinstance(x, (int, float)) for x in [a, b]):
raise TypeError("Both operands must be numbers")
return a - b
🤖 Prompt for AI Agents 
In calculator.py around lines 7 to 9, the subtract method lacks input validation
and documentation. Add a docstring explaining the method's purpose, parameters,
and return value. Implement input validation to check that both a and b are
numbers, raising appropriate exceptions if not, similar to the add method.

Comment on lines +7 to +9
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Identified potential vulnerability:
The subtract method could benefit from better error handling to ensure inputs are valid numbers.

Suggested change
def subtract(self, a, b):
# Could use better error handling
return a - b
def subtract(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise TypeError("Both arguments must be numbers")
return a - b

Comment on lines +7 to +9
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Robustness

The subtract method could benefit from better error handling to manage unexpected input types.

Code Suggestion or Comments 
def subtract(self, a, b):
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a - b

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Comment on lines +7 to +9
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Robustness

The subtract method could benefit from better error handling to manage non-numeric inputs.

Code Suggestion or Comments 
def subtract(self, a, b):
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a - b

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Comment on lines +7 to +9
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Robustness

The subtract method could benefit from better error handling to manage unexpected input types.

Code Suggestion or Comments 
def subtract(self, a, b):
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a - b

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def multiply(self, a, b):
# Missing docstring and input validation
return a * b
Comment on lines +11 to +13
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🛠️ Refactor suggestion

Add documentation and input validation.

The method is missing docstring and input validation as noted in the comment.

-    def multiply(self, a, b):
-        # Missing docstring and input validation
-        return a * b
+    def multiply(self, a, b):
+        """Multiply two numbers and return the result."""
+        if not all(isinstance(x, (int, float)) for x in [a, b]):
+            raise TypeError("Both operands must be numbers")
+        return a * b
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def multiply(self, a, b):
# Missing docstring and input validation
return a * b
def multiply(self, a, b):
"""Multiply two numbers and return the result."""
if not all(isinstance(x, (int, float)) for x in [a, b]):
raise TypeError("Both operands must be numbers")
return a * b
🤖 Prompt for AI Agents 
In calculator.py around lines 11 to 13, the multiply method lacks a docstring
and input validation. Add a clear docstring describing the method's purpose,
parameters, and return value. Implement input validation to check that both a
and b are numbers (int or float) and raise a TypeError if not.

Comment on lines +11 to +13
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Identified potential vulnerability:
The multiply method is missing input validation, which can lead to unexpected behavior if non-numeric inputs are provided.

Suggested change
def multiply(self, a, b):
# Missing docstring and input validation
return a * b
def multiply(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise TypeError("Both arguments must be numbers")
return a * b

Comment on lines +11 to +13
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Maintainability

The multiply method is missing a docstring and input validation, which affects code clarity and robustness.

Code Suggestion or Comments 
def multiply(self, a, b):
        """Multiply two numbers and return the result."""
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a * b

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Comment on lines +11 to +13
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Maintainability

The multiply method is missing a docstring and input validation, which affects code clarity and robustness.

Code Suggestion or Comments 
def multiply(self, a, b):
        """Multiply two numbers and return the result."""
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a * b

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Comment on lines +11 to +13
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Maintainability

The multiply method is missing a docstring and input validation, which affects code clarity and robustness.

Code Suggestion or Comments 
def multiply(self, a, b):
        """Multiply two numbers and return the result."""
        # Validate inputs
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        return a * b

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def divide(self, a, b):
# Basic division without proper error handling
return a / b
Comment on lines +3 to +17
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Identified potential vulnerability:
The add, subtract, multiply, and divide methods lack input validation and error handling. This can lead to runtime errors if non-numeric inputs are provided or if division by zero occurs.

Suggested change
def add(self, a, b):
# No type checking or validation
return a + b
def subtract(self, a, b):
# Could use better error handling
return a - b
def multiply(self, a, b):
# Missing docstring and input validation
return a * b
def divide(self, a, b):
# Basic division without proper error handling
return a / b
def add(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a + b
def subtract(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a - b
def multiply(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a * b
def divide(self, a, b):
# Validate inputs and handle division by zero
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
if b == 0:
raise ZeroDivisionError("Division by zero is not allowed")
return a / b

Comment on lines +15 to +17
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⚠️ Potential issue

Fix critical division by zero vulnerability.

The divide method lacks division by zero checking, which will cause a ZeroDivisionError at runtime.

-    def divide(self, a, b):
-        # Basic division without proper error handling
-        return a / b
+    def divide(self, a, b):
+        """Divide a by b and return the result."""
+        if not all(isinstance(x, (int, float)) for x in [a, b]):
+            raise TypeError("Both operands must be numbers")
+        if b == 0:
+            raise ZeroDivisionError("Cannot divide by zero")
+        return a / b
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def divide(self, a, b):
# Basic division without proper error handling
return a / b
def divide(self, a, b):
"""Divide a by b and return the result."""
if not all(isinstance(x, (int, float)) for x in [a, b]):
raise TypeError("Both operands must be numbers")
if b == 0:
raise ZeroDivisionError("Cannot divide by zero")
return a / b
🤖 Prompt for AI Agents 
In calculator.py around lines 15 to 17, the divide method does not check for
division by zero, which can cause a runtime ZeroDivisionError. Add a condition
to check if the divisor b is zero before performing the division, and handle
this case appropriately, such as raising a custom error or returning a specific
value to prevent the exception.

Comment on lines +15 to +17
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Identified potential vulnerability:
The divide method performs division without proper error handling, which can lead to a ZeroDivisionError if the divisor is zero.

Suggested change
def divide(self, a, b):
# Basic division without proper error handling
return a / b
def divide(self, a, b):
# Validate inputs and handle division by zero
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise TypeError("Both arguments must be numbers")
if b == 0:
raise ValueError("Cannot divide by zero")
return a / b

Comment on lines +3 to +17
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Identified potential vulnerability:
The add, subtract, multiply, and divide methods lack input validation and error handling. This can lead to runtime errors if non-numeric inputs are provided. The divide method also does not handle division by zero, which will raise a ZeroDivisionError.

Suggested change
def add(self, a, b):
# No type checking or validation
return a + b
def subtract(self, a, b):
# Could use better error handling
return a - b
def multiply(self, a, b):
# Missing docstring and input validation
return a * b
def divide(self, a, b):
# Basic division without proper error handling
return a / b
def add(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a + b
def subtract(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a - b
def multiply(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a * b
def divide(self, a, b):
# Validate inputs and handle division by zero
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
if b == 0:
raise ZeroDivisionError("Division by zero is not allowed")
return a / b

Comment on lines +3 to +17
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Identified potential vulnerability:
The add, subtract, multiply, and divide methods lack input validation and error handling. This can lead to runtime errors if non-numeric inputs are provided or if division by zero occurs.

Suggested change
def add(self, a, b):
# No type checking or validation
return a + b
def subtract(self, a, b):
# Could use better error handling
return a - b
def multiply(self, a, b):
# Missing docstring and input validation
return a * b
def divide(self, a, b):
# Basic division without proper error handling
return a / b
def add(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both inputs must be numbers")
return a + b
def subtract(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both inputs must be numbers")
return a - b
def multiply(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both inputs must be numbers")
return a * b
def divide(self, a, b):
# Validate inputs and handle division by zero
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both inputs must be numbers")
if b == 0:
raise ZeroDivisionError("Cannot divide by zero")
return a / b

Comment on lines +3 to +17
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Identified potential vulnerability:
The add, subtract, multiply, and divide methods lack input validation and error handling. This can lead to runtime errors if non-numeric inputs are provided or if division by zero occurs.

Suggested change
def add(self, a, b):
# No type checking or validation
return a + b
def subtract(self, a, b):
# Could use better error handling
return a - b
def multiply(self, a, b):
# Missing docstring and input validation
return a * b
def divide(self, a, b):
# Basic division without proper error handling
return a / b
def add(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a + b
def subtract(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a - b
def multiply(self, a, b):
# Validate inputs
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
return a * b
def divide(self, a, b):
# Validate inputs and handle division by zero
if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
raise ValueError("Both arguments must be numbers")
if b == 0:
raise ZeroDivisionError("Division by zero is not allowed")
return a / b

Comment on lines +15 to +17
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Robustness

The divide method performs basic division without handling division by zero or validating input types, which can lead to runtime errors.

Code Suggestion or Comments 
def divide(self, a, b):
        # Validate inputs and handle division by zero
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        if b == 0:
            raise ValueError("Cannot divide by zero")
        return a / b

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Comment on lines +15 to +17
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Robustness

The divide method performs basic division without handling division by zero or non-numeric inputs, which can lead to runtime errors.

Code Suggestion or Comments 
def divide(self, a, b):
        # Validate inputs and handle division by zero
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        if b == 0:
            raise ValueError("Cannot divide by zero")
        return a / b

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Comment on lines +15 to +17
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Robustness

The divide method performs basic division without handling division by zero, which can lead to runtime errors.

Code Suggestion or Comments 
def divide(self, a, b):
        # Validate inputs and handle division by zero
        if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
            raise TypeError("Both arguments must be numbers")
        if b == 0:
            raise ValueError("Cannot divide by zero")
        return a / b

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# Global instance - potential improvement area
calculator = Calculator()
Comment on lines +19 to +20
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Identified potential vulnerability:
The global instance calculator could lead to unintended side effects if used concurrently in a multi-threaded environment.

Suggested change
# Global instance - potential improvement area
calculator = Calculator()
# Consider using a factory function or dependency injection to manage instances
calculator = Calculator()

Comment on lines +19 to +20
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Identified potential vulnerability:
The global instance of Calculator could be improved by using a factory function or dependency injection to allow for better testing and flexibility.

Suggested change
# Global instance - potential improvement area
calculator = Calculator()
# Consider using a factory function or dependency injection
def get_calculator_instance():
return Calculator()
calculator = get_calculator_instance()

Comment on lines +19 to +20
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Identified potential vulnerability:
The global instance calculator is created without any specific need. This can lead to unintended side effects if the instance is modified elsewhere in the code.

Suggested change
# Global instance - potential improvement area
calculator = Calculator()
# Consider creating instances of Calculator only when needed in the code to avoid unintended side effects.
# Remove the global instance if not necessary.

Comment on lines +19 to +20
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Identified potential vulnerability:
The global instance calculator is created without any encapsulation or control over its usage, which can lead to unintended side effects if modified elsewhere in the code.

Suggested change
# Global instance - potential improvement area
calculator = Calculator()
# Consider using a factory function or a singleton pattern to control the instantiation of the Calculator class
calculator = Calculator()

Comment on lines +19 to +20
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Identified potential vulnerability:
The global instance calculator is created without any specific need. This can lead to unintended side effects if the instance is modified elsewhere in the code.

Suggested change
# Global instance - potential improvement area
calculator = Calculator()
# Consider creating instances of Calculator only when needed in the specific context where they are used.

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Maintainability

The global instance calculator could be improved by using a factory function or dependency injection for better testability and flexibility.

Code Suggestion or Comments 
# Consider using a factory function or dependency injection for better testability
calculator = Calculator()

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Comment on lines +19 to +20
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Maintainability

The global instance calculator could be improved by using a factory function or dependency injection for better testability and flexibility.

Code Suggestion or Comments 
# Consider using a factory function or dependency injection
calculator = Calculator()

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Comment on lines +19 to +20
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Maintainability

The global instance calculator could be improved by using a factory function or dependency injection for better testability and flexibility.

Code Suggestion or Comments 
# Consider using a factory function or dependency injection
calculator = Calculator()

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17 changes: 17 additions & 0 deletions utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@

def validate_number(num):
# Basic validation without proper type checking
try:
float(num)
return True
except:
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Avoid using a bare except clause; catch specific exceptions like ValueError to prevent masking unexpected errors.

Prompt for AI agents 
Address the following comment on utils.py at line 7:

<comment>Avoid using a bare except clause; catch specific exceptions like ValueError to prevent masking unexpected errors.</comment>

<file context>
@@ -0,0 +1,17 @@
+
+def validate_number(num):
+    # Basic validation without proper type checking
+    try:
+        float(num)
+        return True
+    except:
+        return False
+
</file context>

return False
Comment on lines +2 to +8
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Identified potential vulnerability:
The validate_number function performs basic validation without proper type checking and catches all exceptions without specifying the exception type, which can mask other issues.

Suggested change
def validate_number(num):
# Basic validation without proper type checking
try:
float(num)
return True
except:
return False
def validate_number(num):
# Validate if the input can be converted to a float
try:
float(num)
return True
except ValueError:
return False

Comment on lines +2 to +8
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⚠️ Potential issue

Fix the bare except clause and improve error handling.

The function uses a bare except clause which is flagged by static analysis tools and is considered poor practice as it catches all exceptions including system exits and keyboard interrupts.

-def validate_number(num):
-    # Basic validation without proper type checking
-    try:
-        float(num)
-        return True
-    except:
-        return False
+def validate_number(num):
+    """Validate if input can be converted to a float."""
+    try:
+        float(num)
+        return True
+    except (ValueError, TypeError):
+        return False
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def validate_number(num):
# Basic validation without proper type checking
try:
float(num)
return True
except:
return False
def validate_number(num):
"""Validate if input can be converted to a float."""
try:
float(num)
return True
except (ValueError, TypeError):
return False
🧰 Tools
🪛 Ruff (0.12.2)

7-7: Do not use bare except

(E722)

🤖 Prompt for AI Agents 
In utils.py around lines 2 to 8, the function validate_number uses a bare except
clause which is poor practice. Replace the bare except with a specific exception
type, such as ValueError, to catch only the expected errors from the float
conversion. This improves error handling and avoids catching unintended
exceptions.

Comment on lines +2 to +8
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Identified potential vulnerability:
The validate_number function performs basic validation without proper type checking and catches all exceptions without specifying the exception type, which can mask other issues.

Suggested change
def validate_number(num):
# Basic validation without proper type checking
try:
float(num)
return True
except:
return False
def validate_number(num):
# Validate if the input can be converted to a float
try:
float(num)
return True
except ValueError:
return False

Comment on lines +2 to +8
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@codity-ai codity-ai bot Jul 27, 2025

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Identified potential vulnerability:
The validate_number function performs basic validation without proper type checking and catches all exceptions without specifying the exception type, which can mask other issues.

Suggested change
def validate_number(num):
# Basic validation without proper type checking
try:
float(num)
return True
except:
return False
def validate_number(num):
# Validate if the input can be converted to a float
try:
float(num)
return True
except ValueError:
return False

Comment on lines +2 to +8
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@codity-ai codity-ai bot Jul 27, 2025

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Identified potential vulnerability:
The validate_number function performs basic validation without proper type checking and catches all exceptions without specifying the exception type, which can mask other issues.

Suggested change
def validate_number(num):
# Basic validation without proper type checking
try:
float(num)
return True
except:
return False
def validate_number(num):
# Validate if the input can be converted to a float
try:
float(num)
return True
except ValueError:
return False

Comment on lines +2 to +8
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@codity-test codity-test bot Jul 27, 2025

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Identified potential vulnerability:
The validate_number function performs basic validation without proper type checking and catches all exceptions without specifying the exception type, which can mask other issues.

Suggested change
def validate_number(num):
# Basic validation without proper type checking
try:
float(num)
return True
except:
return False
def validate_number(num):
# Validate if the input can be converted to a float
try:
float(num)
return True
except ValueError:
return False

Comment on lines +2 to +8
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@codity-ai codity-ai bot Jul 31, 2025

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Robustness

The validate_number function performs basic validation without proper type checking. It should catch specific exceptions and handle edge cases more robustly.

Code Suggestion or Comments 
def validate_number(num):
    # Validate if the input can be converted to a float
    try:
        float(num)
        return True
    except ValueError:
        return False

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Comment on lines +2 to +8
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Robustness

The validate_number function performs basic validation but lacks proper type checking and specific exception handling. It should catch specific exceptions and ensure the input is of the expected type.

Code Suggestion or Comments 
def validate_number(num):
    # Validate if the input is a number with specific exception handling
    try:
        float(num)
        return True
    except (ValueError, TypeError):
        return False

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Comment on lines +2 to +8
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Robustness

The validate_number function performs basic validation but lacks proper type checking and specific exception handling. This can lead to unexpected behavior if non-numeric types are passed.

Code Suggestion or Comments 
def validate_number(num):
    # Validate if the input can be converted to a float
    try:
        float(num)
        return True
    except ValueError:
        return False

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def format_result(result):
# Simple formatting without proper rounding or precision handling
return str(result)
Comment on lines +10 to +12
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Identified potential vulnerability:
The format_result function converts the result to a string without handling rounding or precision, which can lead to inaccurate representations of floating-point numbers.

Suggested change
def format_result(result):
# Simple formatting without proper rounding or precision handling
return str(result)
def format_result(result):
# Format the result with proper rounding to two decimal places
return f"{result:.2f}"

Comment on lines +10 to +12
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Identified potential vulnerability:
The format_result function does not handle rounding or precision, which can lead to unexpected results when dealing with floating-point numbers.

Suggested change
def format_result(result):
# Simple formatting without proper rounding or precision handling
return str(result)
def format_result(result):
# Format the result with proper rounding to two decimal places
return f"{result:.2f}"

Comment on lines +10 to +12
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@codity-ai codity-ai bot Jul 27, 2025

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Identified potential vulnerability:
The format_result function converts the result to a string without handling rounding or precision, which can lead to imprecise representations of floating-point numbers.

Suggested change
def format_result(result):
# Simple formatting without proper rounding or precision handling
return str(result)
def format_result(result):
# Format the result with proper rounding to two decimal places
return f"{result:.2f}"

Comment on lines +10 to +12
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@codity-ai codity-ai bot Jul 27, 2025

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Identified potential vulnerability:
The format_result function converts the result to a string without handling rounding or precision, which can lead to inaccurate representations of floating-point numbers.

Suggested change
def format_result(result):
# Simple formatting without proper rounding or precision handling
return str(result)
def format_result(result):
# Format the result with proper rounding to two decimal places
return f"{result:.2f}"

Comment on lines +10 to +12
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@codity-test codity-test bot Jul 27, 2025

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Identified potential vulnerability:
The format_result function converts the result to a string without handling rounding or precision, which can lead to imprecise representations of floating-point numbers.

Suggested change
def format_result(result):
# Simple formatting without proper rounding or precision handling
return str(result)
def format_result(result):
# Format the result with proper rounding to two decimal places
return f"{result:.2f}"

Comment on lines +10 to +12
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@codity-ai codity-ai bot Jul 31, 2025

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Robustness

The format_result function does not handle rounding or precision, which can lead to unexpected results when displaying floating-point numbers.

Code Suggestion or Comments 
def format_result(result):
    # Format the result with proper rounding
    return f"{result:.2f}"

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Comment on lines +10 to +12
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Robustness

The format_result function converts the result to a string without handling rounding or precision, which can lead to unexpected output formats.

Code Suggestion or Comments 
def format_result(result):
    # Format the result with proper rounding and precision
    return f"{result:.2f}"

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Comment on lines +10 to +12
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Robustness

The format_result function converts the result to a string without handling rounding or precision, which may lead to imprecise representations of floating-point numbers.

Code Suggestion or Comments 
def format_result(result):
    # Format the result with proper rounding to two decimal places
    return f"{result:.2f}"

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def parse_input(input_str):
# Basic parsing without proper error handling
parts = input_str.split()
return float(parts[0]), parts[1], float(parts[2])
Comment on lines +14 to +17
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Identified potential vulnerability:
The parse_input function performs basic parsing without proper error handling, which can lead to unhandled exceptions if the input format is incorrect.

Suggested change
def parse_input(input_str):
# Basic parsing without proper error handling
parts = input_str.split()
return float(parts[0]), parts[1], float(parts[2])
def parse_input(input_str):
# Parse input with error handling
try:
parts = input_str.split()
if len(parts) != 3:
raise ValueError("Input must contain exactly three parts")
return float(parts[0]), parts[1], float(parts[2])
except ValueError as e:
raise ValueError(f"Invalid input format: {e}")

Comment on lines +14 to +17
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⚠️ Potential issue

Add proper error handling for input parsing.

The function lacks validation for input structure and will raise IndexError or ValueError for malformed inputs.

-def parse_input(input_str):
-    # Basic parsing without proper error handling
-    parts = input_str.split()
-    return float(parts[0]), parts[1], float(parts[2])
+def parse_input(input_str):
+    """Parse input string into operands and operator."""
+    if not input_str or not input_str.strip():
+        raise ValueError("Input string cannot be empty")
+    
+    parts = input_str.split()
+    if len(parts) != 3:
+        raise ValueError("Input must contain exactly 3 parts: number operator number")
+    
+    try:
+        operand1 = float(parts[0])
+        operator = parts[1]
+        operand2 = float(parts[2])
+        return operand1, operator, operand2
+    except ValueError as e:
+        raise ValueError(f"Invalid number format: {e}")
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def parse_input(input_str):
# Basic parsing without proper error handling
parts = input_str.split()
return float(parts[0]), parts[1], float(parts[2])
def parse_input(input_str):
"""Parse input string into operands and operator."""
if not input_str or not input_str.strip():
raise ValueError("Input string cannot be empty")
parts = input_str.split()
if len(parts) != 3:
raise ValueError("Input must contain exactly 3 parts: number operator number")
try:
operand1 = float(parts[0])
operator = parts[1]
operand2 = float(parts[2])
return operand1, operator, operand2
except ValueError as e:
raise ValueError(f"Invalid number format: {e}")
🤖 Prompt for AI Agents 
In utils.py around lines 14 to 17, the parse_input function currently splits the
input string and converts parts without any validation, which can cause
IndexError or ValueError if the input is malformed. Add error handling by
checking the length of parts before accessing them and use try-except blocks to
catch and handle ValueError when converting to float. Return a clear error or
handle invalid input gracefully to prevent the function from crashing.

Comment on lines +14 to +17
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Identified potential vulnerability:
The parse_input function performs basic parsing without proper error handling, which can lead to runtime errors if the input is not in the expected format.

Suggested change
def parse_input(input_str):
# Basic parsing without proper error handling
parts = input_str.split()
return float(parts[0]), parts[1], float(parts[2])
def parse_input(input_str):
# Parse input with error handling
try:
parts = input_str.split()
if len(parts) != 3:
raise ValueError("Input must contain exactly three parts")
return float(parts[0]), parts[1], float(parts[2])
except ValueError as e:
raise ValueError(f"Invalid input format: {e}")

Comment on lines +14 to +17
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@codity-ai codity-ai bot Jul 27, 2025

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Identified potential vulnerability:
The parse_input function performs basic parsing without proper error handling, which can lead to unhandled exceptions if the input format is incorrect.

Suggested change
def parse_input(input_str):
# Basic parsing without proper error handling
parts = input_str.split()
return float(parts[0]), parts[1], float(parts[2])
def parse_input(input_str):
# Parse input with error handling
try:
parts = input_str.split()
if len(parts) != 3:
raise ValueError("Input must contain exactly three parts")
return float(parts[0]), parts[1], float(parts[2])
except ValueError as e:
raise ValueError(f"Invalid input format: {e}")

Comment on lines +14 to +17
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@codity-ai codity-ai bot Jul 27, 2025

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Identified potential vulnerability:
The parse_input function performs basic parsing without proper error handling, which can lead to unhandled exceptions if the input format is incorrect.

Suggested change
def parse_input(input_str):
# Basic parsing without proper error handling
parts = input_str.split()
return float(parts[0]), parts[1], float(parts[2])
def parse_input(input_str):
# Parse input with error handling
try:
parts = input_str.split()
if len(parts) != 3:
raise ValueError("Input must contain exactly three parts")
return float(parts[0]), parts[1], float(parts[2])
except ValueError as e:
raise ValueError(f"Invalid input format: {e}")

Comment on lines +14 to +17
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@codity-test codity-test bot Jul 27, 2025

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Identified potential vulnerability:
The parse_input function performs basic parsing without proper error handling, which can lead to unhandled exceptions if the input format is incorrect.

Suggested change
def parse_input(input_str):
# Basic parsing without proper error handling
parts = input_str.split()
return float(parts[0]), parts[1], float(parts[2])
def parse_input(input_str):
# Parse input with error handling
try:
parts = input_str.split()
if len(parts) != 3:
raise ValueError("Input must contain exactly three parts")
return float(parts[0]), parts[1], float(parts[2])
except ValueError as e:
raise ValueError(f"Invalid input format: {e}")

Comment on lines +14 to +17
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Robustness

The parse_input function lacks proper error handling, which can lead to crashes if the input is not in the expected format.

Code Suggestion or Comments 
def parse_input(input_str):
    # Parse input with error handling
    try:
        parts = input_str.split()
        if len(parts) != 3:
            raise ValueError("Input must contain exactly three parts")
        return float(parts[0]), parts[1], float(parts[2])
    except ValueError as e:
        raise ValueError(f"Invalid input format: {e}")

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Comment on lines +14 to +17
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@codity-ai codity-ai bot Aug 1, 2025

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Robustness

The parse_input function performs basic parsing without error handling, which can lead to crashes if the input format is incorrect.

Code Suggestion or Comments 
def parse_input(input_str):
    # Parse input with error handling
    try:
        parts = input_str.split()
        if len(parts) != 3:
            raise ValueError("Input must contain exactly three parts")
        return float(parts[0]), parts[1], float(parts[2])
    except (ValueError, IndexError) as e:
        raise ValueError(f"Invalid input format: {e}")

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Comment on lines +14 to +17
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Robustness

The parse_input function performs basic parsing without error handling, which can lead to crashes if the input format is incorrect or if there are not exactly three parts.

Code Suggestion or Comments 
def parse_input(input_str):
    # Parse input with error handling
    try:
        parts = input_str.split()
        if len(parts) != 3:
            raise ValueError("Input must consist of two numbers and an operator")
        return float(parts[0]), parts[1], float(parts[2])
    except ValueError as e:
        raise ValueError(f"Invalid input format: {e}")

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