Source code
from django.core.cache.backends.base import DEFAULT_TIMEOUT, BaseCache
class DummyCache(BaseCache):
def __init__(self, host, *args, **kwargs):
super().__init__(*args, **kwargs)
def add(self, key, value, timeout=DEFAULT_TIMEOUT, version=None):
self.make_and_validate_key(key, version=version)
return True
def get(self, key, default=None, version=None):
self.make_and_validate_key(key, version=version)
return default
def set(self, key, value, timeout=DEFAULT_TIMEOUT, version=None):
self.make_and_validate_key(key, version=version)
def touch(self, key, timeout=DEFAULT_TIMEOUT, version=None):
self.make_and_validate_key(key, version=version)
return False
def delete(self, key, version=None):
self.make_and_validate_key(key, version=version)
return False
def has_key(self, key, version=None):
self.make_and_validate_key(key, version=version)
return False
def clear(self):
pass
Run 1
The code is simple and easy to understand. The class follows a clear structure: constructor and cache methods aligned with the base interface. Nesting is flat, with no conditionals or loops. Each method has a clear purpose, and action granularity is good—one action per line. The repeated validation call is concise but could be considered redundant; a helper or comment might clarify intent. Method names match the standard cache API, which improves reading flow for familiar Django developers. The constructor is minimal but currently ignores the 'host' parameter, which is slightly ambiguous. Overall, the code is clean and readable, though not self-documenting regarding the dummy behavior.
Run 2
The code is highly readable. It follows a simple, consistent structure where each method is short and performs a single logical action. Nesting is completely flat, with no conditional or loop complexity. The intent is clear: it implements a dummy cache backend that validates keys but doesn't actually store data. Each method is concise, with no unnecessary lines. Action granularity is appropriate—most methods perform one validation call and return a value. The reading flow is natural because methods are ordered logically (add, get, set, touch, delete, has_key, clear) and share a uniform pattern. Minor deductions: the unused 'host' parameter and redundant super().__init__ could be considered slightly ambiguous, and the repeated validation pattern, while clear, is somewhat repetitive. Overall, it is an easily understood and maintainable mock implementation.
Run 3
The code is well-structured and highly readable. Each method is short, focused, and follows a consistent pattern: validate the key, then either store nothing or return a constant. There is no deep nesting, and the flow is straightforward. Variable and method names are clear from Django’s cache API. The only minor drawbacks are the unused 'host' parameter in __init__, which slightly obscures intent, and the repeated make_and_validate_key calls, which could be centralized to reduce duplication. Overall, the code is clean and easy to follow.
Run 1
Code Structure: A single, logically organized class exposes familiar cache operations as separate methods. Nesting: Methods are flat, with no nested control flow. Clarity of intent: DummyCache and conventional method names clearly suggest a no-op cache; a short docstring would better explain the return values and intentionally unused parameters. Code length: The implementation is concise, with repeated validation appropriate to each operation. Action granularity: Each statement performs one action, keeping validation and returns distinct. Reading flow: Consistent signatures, spacing, and method bodies make the class easy to scan from initialization through cache operations.
Run 2
Code Structure: A single, well-organized class groups standard cache operations into distinct methods. Nesting: Methods are flat, with no conditional or loop nesting. Clarity of intent: DummyCache and conventional method names clearly suggest a no-op cache, though a brief docstring could explain the intentionally unused parameters and return values. Code length: Implementations are concise; repeated key validation is appropriate for the interface. Action granularity: Each line performs one action, making behavior easy to scan. Reading flow: Consistent signatures, spacing, and validation-first implementations provide a natural, predictable reading flow.
Run 3
Code Structure: A single, well-organized class groups standard cache operations into separate methods. Nesting: Methods are flat, with no nested control flow. Clarity of intent: DummyCache and familiar method names communicate a no-op cache implementation, though a brief docstring would clarify the intentional lack of storage and unused parameters. Code length: The implementation is concise; repeated key validation is appropriate for independently callable methods. Action granularity: Each line performs one clear action. Reading flow: Consistent signatures, spacing, and validation-before-return patterns make the class easy to scan and understand.