Add retry module to docs.

Author: fkdosilovic

docs/source/api/retry.rst

@@ -0,0 +1,6 @@
+Retry Module
+============
+
+.. automodule:: judge0.retry
+   :members:
+   :member-order: bysource

docs/source/index.rst

@@ -59,6 +59,7 @@ Every contribution, big or small, is valuable!
       api/submission
       api/clients
       api/types
+      api/retry
 
 .. toctree::
       :caption: Getting Involved

pyproject.toml

@@ -48,16 +48,18 @@ test = [
 docs = ["sphinx==7.4.7"]
 
 [tool.flake8]
-docstring-convention = "numpy"
 extend-ignore = [
     'D100',
     'D101',
     'D102',
     'D103',
     'D104',
     'D105',
+    'D107',
     'D205',
+    "D209",
     'D400',
     'F821',
 ]
+docstring-convention = "numpy"
 max-line-length = 88

src/judge0/retry.py

@@ -3,62 +3,106 @@
 
 
 class RetryStrategy(ABC):
+    """Abstract base class that defines the interface for any retry strategy.
+
+    See :obj:`MaxRetries`, :obj:`MaxWaitTime`, and :obj:`RegularPeriodRetry` for
+    example implementations.
+    """
+
     @abstractmethod
     def is_done(self) -> bool:
+        """Check if the retry strategy has exhausted its retries."""
         pass
 
     @abstractmethod
     def wait(self) -> None:
+        """Delay implementation before the next retry attempt."""
         pass
 
+    @abstractmethod
     def step(self) -> None:
+        """Update internal attributes of the retry strategy."""
         pass
 
 
 class MaxRetries(RetryStrategy):
     """Check for submissions status every 100 ms and retry a maximum of
-    `max_retries` times."""
+    `max_retries` times.
+
+    Parameters
+    ----------
+    max_retries : int
+        Max number of retries.
+    """
 
     def __init__(self, max_retries: int = 20):
+        if max_retries < 1:
+            raise ValueError("max_retries must be at least 1.")
         self.n_retries = 0
         self.max_retries = max_retries
 
     def step(self):
+        """Increment the number of retries by one."""
         self.n_retries += 1
 
     def wait(self):
+        """Wait for 0.1 seconds between retries."""
         time.sleep(0.1)
 
     def is_done(self) -> bool:
+        """Check if the number of retries is bigger or equal to specified
+        maximum number of retries."""
         return self.n_retries >= self.max_retries
 
 
 class MaxWaitTime(RetryStrategy):
     """Check for submissions status every 100 ms and wait for all submissions
-    a maximum of `max_wait_time` (seconds)."""
+    a maximum of `max_wait_time` (seconds).
+
+    Parameters
+    ----------
+    max_wait_time_sec : float
+        Maximum waiting time (in seconds).
+    """
 
     def __init__(self, max_wait_time_sec: float = 5 * 60):
         self.max_wait_time_sec = max_wait_time_sec
         self.total_wait_time = 0
 
     def step(self):
+        """Add 0.1 seconds to total waiting time."""
         self.total_wait_time += 0.1
 
     def wait(self):
+        """Wait (sleep) for 0.1 seconds."""
         time.sleep(0.1)
 
     def is_done(self):
+        """Check if the total waiting time is bigger or equal to the specified
+        maximum waiting time."""
         return self.total_wait_time >= self.max_wait_time_sec
 
 
 class RegularPeriodRetry(RetryStrategy):
-    """Check for submissions status periodically for indefinite amount of time."""
+    """Check for submissions status periodically for indefinite amount of time.
+
+    Parameters
+    ----------
+    wait_time_sec : float
+        Wait time between retries (in seconds).
+    """
 
     def __init__(self, wait_time_sec: float = 0.1):
         self.wait_time_sec = wait_time_sec
 
     def wait(self):
+        """Wait for `wait_time_sec` seconds."""
         time.sleep(self.wait_time_sec)
 
     def is_done(self) -> bool:
+        """Return False, as this retry strategy is indefinite."""
         return False
+
+    def step(self) -> None:
+        """Satisfy the interface with a dummy implementation."""
+        pass