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 has a flat, logical structure with one public method per cache operation, consistent signatures, and minimal nesting. Each method’s intent is clear: it validates the key (via make_and_validate_key) and returns an appropriate dummy value. The implementation is concise, avoiding unnecessary logic or repeated validation code. Action granularity is excellent—each statement is on its own line. Reading flow is natural: class definition, then methods in a logical order matching common cache APIs. Minor deductions: the __init__ method is redundant since it only calls super(), and some methods omit an explicit return, relying on Python’s implicit None. Overall, the code is very easy to follow and maintain.
Run 3
The code is highly readable. It follows a clear, logical structure with one method per cache operation, flat nesting, and concise implementations. Each method validates its key and then performs a single, predictable action—no ambiguous logic or unnecessary complexity. The code length is minimal and appropriate for a dummy cache backend. Action granularity is well-maintained, with each method doing exactly one thing per line. Reading flow is natural: method names match standard cache semantics, and the class’s purpose is immediately clear. Minor deductions: repeated make_and_validate_key calls could be factored, and a few methods return hardcoded booleans without explanation, but this is acceptable for dummy behavior.
Run 1
Code Structure: A single, logically organized class groups standard cache operations into distinct methods. Nesting: Methods are flat, with no nested control flow. Clarity of intent: DummyCache and conventional method names communicate a no-op cache implementation, though a short docstring could clarify its validation-only behavior and differing return values. Code length: The implementation is concise; repeated key validation is straightforward and appropriate for separate interface methods. Action granularity: Each line performs one action. Reading flow: Consistent signatures, spacing, and method bodies make the code easy to scan. Unused parameters reflect the cache interface but slightly obscure intent without explanatory documentation.
Run 2
Code Structure: A single, well-organized class groups standard cache operations into distinct methods. Nesting: Methods are flat, with no nested control flow. Clarity of intent: DummyCache and familiar method names clearly suggest a no-op cache, though a short docstring could explain the unused parameters and return behavior. Code length: The implementation is concise; repeated key validation is appropriate for independent interface methods. Action granularity: Each line performs one action, keeping validation and returns separate. Reading flow: Consistent signatures, formatting, and method bodies make the code easy to scan and understand.
Run 3
Code Structure: A single, logically organized class separates cache operations into small methods. Nesting: The code is flat, with no nested conditionals or loops. Clarity of intent: DummyCache and standard cache method names clearly suggest a no-op cache; a brief docstring could clarify the intentional lack of storage and unused parameters. Code length: Concise implementations avoid unnecessary logic, and repeated key validation is straightforward. Action granularity: Each line performs one action. Reading flow: Consistent signatures, spacing, and validation-first method bodies make the code easy to scan and understand.