Prioritize code readability by structuring code in a way that makes it easy to understand at a glance. This includes: 1. Break complex conditions into clearer if-else blocks for better comprehension:
Prioritize code readability by structuring code in a way that makes it easy to understand at a glance. This includes:
if account_id and access_key is None and secret_key is None: return True
if account_id is None: return False elif access_key is None or secret_key is None: return True return False
2. Use higher-level APIs when they express intent more clearly:
```python
# Instead of this:
path = os.sep.join([self.EXAMPLE_PATH, self._service_name + '.rst'])
# Prefer this:
path = os.path.join(self.EXAMPLE_PATH, self._service_name + '.rst')
is not None
when comparing against None:
```python
if identifiers or identifiers == None:
if identifiers is not None:
4. Use named parameters for complex function calls to improve readability:
```python
# Instead of this with nested dictionaries:
resource = self.load('test', 'Message', model, defs, None)
# Prefer this:
resource = self.load(
service_name='test',
resource_name='Message',
model=model,
resource_defs=defs,
service_model=None
)
These practices help other developers understand your code faster and reduce the cognitive load when navigating the codebase.
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