Calculator improvements 1735907862 #27
Conversation
WalkthroughTwo new modules are introduced: Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Utils
participant Calculator
User->>Utils: parse_input(input_str)
Utils-->>User: (a, operator, b)
User->>Utils: validate_number(a), validate_number(b)
Utils-->>User: True/False
User->>Calculator: add(a, b) / subtract(a, b) / multiply(a, b) / divide(a, b)
Calculator-->>User: result
User->>Utils: format_result(result)
Utils-->>User: formatted_result
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🔍 PR review has been triggered! Estimated completion time: 5-10 minutes. |
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PR Summary PR Summary
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![codity-ai[bot]](https://avatars.githubusercontent.com/in/1102452?s=60&v=4){kind=small}
| def validate_number(num): | ||
| # Basic validation without proper type checking | ||
| try: | ||
| float(num) | ||
| return True | ||
| except: | ||
| return False |
There was a problem hiding this comment.
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.
| 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 |
| def format_result(result): | ||
| # Simple formatting without proper rounding or precision handling | ||
| return str(result) |
There was a problem hiding this comment.
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.
| 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}" |
| def parse_input(input_str): | ||
| # Basic parsing without proper error handling | ||
| parts = input_str.split() | ||
| return float(parts[0]), parts[1], float(parts[2]) |
There was a problem hiding this comment.
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.
| 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}") |
| 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 |
There was a problem hiding this comment.
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.
| 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 |
| # Global instance - potential improvement area | ||
| calculator = Calculator() |
There was a problem hiding this comment.
Identified potential vulnerability:
The global instance calculator could lead to unintended side effects if used concurrently in a multi-threaded environment.
| # Global instance - potential improvement area | |
| calculator = Calculator() | |
| # Consider using a factory function or dependency injection to manage instances | |
| calculator = Calculator() |
|
🔍 PR review is completed! |
![cubic-dev-ai[bot]](https://avatars.githubusercontent.com/in/1082092?s=60&v=4){kind=small}
There was a problem hiding this comment.
cubic analysis
1 issue found across 2 files • Review in cubic
React with 👍 or 👎 to teach cubic. You can also tag @cubic-dev-ai to give feedback, ask questions, or re-run the review.
| try: | ||
| float(num) | ||
| return True | ||
| except: |
There was a problem hiding this comment.
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>
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 6
🧹 Nitpick comments (2)
utils.py (1)
10-12: Consider adding precision control for result formatting.While the current implementation works for basic cases, consider adding precision control for better user experience with floating-point results.
-def format_result(result): - # Simple formatting without proper rounding or precision handling - return str(result) +def format_result(result, precision=2): + """Format result with optional precision control.""" + if isinstance(result, float) and result.is_integer(): + return str(int(result)) + elif isinstance(result, float): + return f"{result:.{precision}f}".rstrip('0').rstrip('.') + return str(result)calculator.py (1)
19-20: Consider the implications of using a global instance.While a global instance can be convenient, it may not be the best practice for all use cases. Consider whether this is the intended design pattern.
The global instance pattern works for simple use cases but consider these alternatives:
- Factory function:
def get_calculator() -> Calculator:- Dependency injection for better testability
- Module-level functions that use a private instance
If keeping the global instance, consider making it more explicit:
-# Global instance - potential improvement area -calculator = Calculator() +# Global calculator instance for convenience +default_calculator = Calculator()
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (2)
calculator.py(1 hunks)utils.py(1 hunks)
🧰 Additional context used
🪛 Ruff (0.12.2)
utils.py
7-7: Do not use bare except
(E722)
| def add(self, a, b): | ||
| # No type checking or validation | ||
| return a + b |
There was a problem hiding this comment.
🛠️ 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.
| 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.
| def subtract(self, a, b): | ||
| # Could use better error handling | ||
| return a - b |
There was a problem hiding this comment.
🛠️ 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.
| 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.
| def multiply(self, a, b): | ||
| # Missing docstring and input validation | ||
| return a * b |
There was a problem hiding this comment.
🛠️ 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.
| 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.
| def divide(self, a, b): | ||
| # Basic division without proper error handling | ||
| return a / b |
There was a problem hiding this comment.
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.
| 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.
| def validate_number(num): | ||
| # Basic validation without proper type checking | ||
| try: | ||
| float(num) | ||
| return True | ||
| except: | ||
| return False |
There was a problem hiding this comment.
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.
| 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.
| def parse_input(input_str): | ||
| # Basic parsing without proper error handling | ||
| parts = input_str.split() | ||
| return float(parts[0]), parts[1], float(parts[2]) |
There was a problem hiding this comment.
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.
| 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.
|
@codity review |
|
🔍 PR review has been triggered! Estimated completion time: 5-10 minutes. |
|
PR Summary PR Summary
Overall, the changes reflect an effort to enhance the arithmetic capabilities and modularity of the code, though attention to error handling and type checking is recommended for improved reliability. |
| def validate_number(num): | ||
| # Basic validation without proper type checking | ||
| try: | ||
| float(num) | ||
| return True | ||
| except: | ||
| return False |
There was a problem hiding this comment.
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.
| 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 |
| def format_result(result): | ||
| # Simple formatting without proper rounding or precision handling | ||
| return str(result) |
There was a problem hiding this comment.
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.
| 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}" |
| def parse_input(input_str): | ||
| # Basic parsing without proper error handling | ||
| parts = input_str.split() | ||
| return float(parts[0]), parts[1], float(parts[2]) |
There was a problem hiding this comment.
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.
| 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}") |
| def add(self, a, b): | ||
| # No type checking or validation | ||
| return a + b |
There was a problem hiding this comment.
Identified potential vulnerability:
The add method lacks type checking or validation, which can lead to unexpected behavior if non-numeric inputs are provided.
| 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 |
| def subtract(self, a, b): | ||
| # Could use better error handling | ||
| return a - b |
There was a problem hiding this comment.
Identified potential vulnerability:
The subtract method could benefit from better error handling to ensure inputs are valid numbers.
| 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 |
| def multiply(self, a, b): | ||
| # Missing docstring and input validation | ||
| return a * b |
There was a problem hiding this comment.
Identified potential vulnerability:
The multiply method is missing input validation, which can lead to unexpected behavior if non-numeric inputs are provided.
| 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 |
| def divide(self, a, b): | ||
| # Basic division without proper error handling | ||
| return a / b |
There was a problem hiding this comment.
Identified potential vulnerability:
The divide method performs division without proper error handling, which can lead to a ZeroDivisionError if the divisor is zero.
| 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 |
| # Global instance - potential improvement area | ||
| calculator = Calculator() |
There was a problem hiding this comment.
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.
| # 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() |
|
🔍 PR review is completed! |
|
@codity review |
|
🔍 PR review has been triggered! Estimated completion time: 5-10 minutes. |
|
PR Summary PR Summary
|
| def validate_number(num): | ||
| # Basic validation without proper type checking | ||
| try: | ||
| float(num) | ||
| return True | ||
| except: | ||
| return False |
There was a problem hiding this comment.
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.
| 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 |
| def format_result(result): | ||
| # Simple formatting without proper rounding or precision handling | ||
| return str(result) |
There was a problem hiding this comment.
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.
| 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}" |
| def multiply(self, a, b): | ||
| # Missing docstring and input validation | ||
| return a * b |
There was a problem hiding this comment.
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
| def divide(self, a, b): | ||
| # Basic division without proper error handling | ||
| return a / b |
There was a problem hiding this comment.
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
| # Global instance - potential improvement area | ||
| calculator = Calculator() |
There was a problem hiding this comment.
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()
|
🔍 PR review is completed! |
|
@codity review |
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🔍 PR review started! Estimated time: 5-10 minutes. 💡 Learn MoreAsk Codity questions: Trigger a manual review: |
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PR Summary PR Summary
Walkthrough of Changes
Files with Code Changes
|
| def validate_number(num): | ||
| # Basic validation without proper type checking | ||
| try: | ||
| float(num) | ||
| return True | ||
| except: | ||
| return False |
There was a problem hiding this comment.
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
| def format_result(result): | ||
| # Simple formatting without proper rounding or precision handling | ||
| return str(result) |
There was a problem hiding this comment.
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}"
| def parse_input(input_str): | ||
| # Basic parsing without proper error handling | ||
| parts = input_str.split() | ||
| return float(parts[0]), parts[1], float(parts[2]) |
There was a problem hiding this comment.
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}")
| def add(self, a, b): | ||
| # No type checking or validation | ||
| return a + b |
There was a problem hiding this comment.
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
| def subtract(self, a, b): | ||
| # Could use better error handling | ||
| return a - b |
There was a problem hiding this comment.
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
| def multiply(self, a, b): | ||
| # Missing docstring and input validation | ||
| return a * b |
There was a problem hiding this comment.
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
| def divide(self, a, b): | ||
| # Basic division without proper error handling | ||
| return a / b |
There was a problem hiding this comment.
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
| # Global instance - potential improvement area | ||
| calculator = Calculator() |
There was a problem hiding this comment.
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()
|
🔍 PR review is completed! |
|
@codity review |
|
🔍 PR review started! Estimated time: 5-10 minutes. 💡 Learn MoreAsk Codity questions: Trigger a manual review: |
|
🔍 PR review started! Estimated time: 5-10 minutes. 💡 Learn MoreAsk Codity questions: Trigger a manual review: |
|
PR Summary PR Summary
Walkthrough of Changes
Files with Code Changes
|
| def add(self, a, b): | ||
| # No type checking or validation | ||
| return a + b |
There was a problem hiding this comment.
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
| def subtract(self, a, b): | ||
| # Could use better error handling | ||
| return a - b |
There was a problem hiding this comment.
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
| def multiply(self, a, b): | ||
| # Missing docstring and input validation | ||
| return a * b |
There was a problem hiding this comment.
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
| def divide(self, a, b): | ||
| # Basic division without proper error handling | ||
| return a / b |
There was a problem hiding this comment.
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
| # Global instance - potential improvement area | ||
| calculator = Calculator() |
There was a problem hiding this comment.
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()
| def validate_number(num): | ||
| # Basic validation without proper type checking | ||
| try: | ||
| float(num) | ||
| return True | ||
| except: | ||
| return False |
There was a problem hiding this comment.
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
| def format_result(result): | ||
| # Simple formatting without proper rounding or precision handling | ||
| return str(result) |
There was a problem hiding this comment.
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}"
| def parse_input(input_str): | ||
| # Basic parsing without proper error handling | ||
| parts = input_str.split() | ||
| return float(parts[0]), parts[1], float(parts[2]) |
There was a problem hiding this comment.
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}")
|
🔍 PR review is completed! |
1 similar comment
|
🔍 PR review is completed! |
Summary by cubic
Added a basic calculator class with add, subtract, multiply, and divide methods, along with utility functions for input validation, formatting, and parsing. This sets up the core logic for calculator operations.
Summary by CodeRabbit