propose fix a couple of typos and avoid emacs backup files (#237) (#238)

(cherry picked from commit f8c45b6)

Signed-off-by: John E <jeis4wpi@outlook.com>
Co-authored-by: John Eismeier <42679190+jeis4wpi@users.noreply.github.com>

Author: agent-lightning-bot

.gitignore

@@ -189,6 +189,9 @@ cython_debug/
 #  you could uncomment the following to ignore the enitre vscode folder
 .vscode/
 
+# Emacs backup files
+*~
+
 # Ruff stuff:
 .ruff_cache/
 

docs/deep-dive/birds-eye-view.md

@@ -496,7 +496,7 @@ flowchart TD
 Continuous learning keeps the algorithm loop running while runners report tasks and spans opportunistically. Key differences from batch mode:
 
 1. The algorithm does not enqueue rollouts from a fixed dataset. Runners report tasks/rollouts and spans spontaneously.
-2. The algorithm can wait for rollouts with a expected set of rollout IDs, but more oftenly polls for new rollouts and spans or waits for a count to arrive.
+2. The algorithm can wait for rollouts with a expected set of rollout IDs, but more often polls for new rollouts and spans or waits for a count to arrive.
 3. The [`Runner`][agentlightning.Runner] processes one rollout at a time via [`step(task)`][agentlightning.Runner.step] instead of exhausting a task queue. It notifies the store when starting a rollout so the store records it.
 4. A user or higher-level loop controls which resources the next step uses and when to retry.
 

examples/apo/apo_custom_algorithm.py

@@ -141,7 +141,7 @@ async def llm_judge(task: str, output: Optional[str]) -> float:
     try:
         content = result.choices[0].message.content
         if content is None:
-            console.print(f"[bold blue][Judge][/bold blue] Judge retured no content: {result}")
+            console.print(f"[bold blue][Judge][/bold blue] Judge returned no content: {result}")
             return 0.0
         score = float(content)
         console.print(f"[bold blue][Judge][/bold blue] Judge returned score: {score}")

examples/spider/spider_eval/exec_eval.py

@@ -136,7 +136,7 @@ def replace_cur_year(query: str) -> str:
 def get_cursor_from_path(sqlite_path: str):
     try:
         if not os.path.exists(sqlite_path):
-            print("Openning a new connection %s" % sqlite_path)
+            print("Opening a new connection %s" % sqlite_path)
         connection = sqlite3.connect(sqlite_path)
     except Exception as e:
         print(sqlite_path)