Upload Ihsan's fix

Author: Didayolo

codabench/example_GPU/Example-GPU-Competition.zip

@@ -6,8 +6,8 @@ version: 2
 title: Example GPU Competition
 description: This is an example GPU test competition
 image: logo.png
-registration_auto_approve: False   
-enable_detailed_results: True
+registration_auto_approve: True   
+enable_detailed_results: False
 docker_image: codalab/codalab-legacy:gpu310
 
 
@@ -21,9 +21,8 @@ phases:
   - index: 0
     name: Phase 1
     description: GPU Test Phase
-    start: 2025-06-01
-    end: 2026-06-01
-    starting_kit: sample_code_submission
+    start: 2026-01-01
+    end: 2027-06-01
     tasks:
       - 0
 

codabench/example_GPU/Example-GPU-Competition/competition.yaml

@@ -43,8 +43,6 @@
         output_dir = "/app/output"
         program_dir = "/app/program"
 
-    sys.path.append(program_dir)
-
     ingestion = Ingestion()
     ingestion.check_gpu_availability()
     ingestion.save_gpu_status(output_dir)

codabench/example_GPU/Example-GPU-Competition/ingestion_program/run_ingestion.py

@@ -1,3 +1,4 @@
-# Overview 
+# Overview
+***
 
-This is an example Competition to test if GPUs are available or not.
+This is an example Competition to test if GPUs are available or not.

codabench/example_GPU/Example-GPU-Competition/pages/overview.md

@@ -1,3 +1,4 @@
 # Terms
+***
 
-Add your Terms to this page.
+Add your Terms to this page.

codabench/example_GPU/Example-GPU-Competition/pages/terms.md

@@ -0,0 +1 @@
+This is a dummy submission for GPU Test Competition

codabench/example_GPU/Example-GPU-Competition/sample_code_submission/example_gpu_submission.txt

@@ -14,44 +14,8 @@ def load_ingestion_output(self, prediction_dir):
             self.gpu_detected = json.load(f)["gpu_detected"]
         print(f"GPU Detected: {self.gpu_detected}")
 
-    def load_ingestion_results(self, prediction_dir="./", score_dir="./"):
-        """
-        Load the ingestion results.
-
-        Args:
-            prediction_dir (str, optional): location of the predictions. Defaults to "./".
-            score_dir (str, optional): location of the scores. Defaults to "./".
-        """
-        ingestion_results_with_set_index = []
-        # loop over sets (1 set = 1 value of mu)
-        for file in os.listdir(prediction_dir):
-            if file.startswith("result_"):
-                set_index = int(
-                    file.split("_")[1].split(".")[0]
-                )  # file format: result_{set_index}.json
-                results_file = os.path.join(prediction_dir, file)
-                with open(results_file) as f:
-                    ingestion_results_with_set_index.append(
-                        {"set_index": set_index, "results": json.load(f)}
-                    )
-        ingestion_results_with_set_index = sorted(
-            ingestion_results_with_set_index, key=lambda x: x["set_index"]
-        )
-        self.ingestion_results = [
-            x["results"] for x in ingestion_results_with_set_index
-        ]
-
-        self.score_file = os.path.join(score_dir, "scores.json")
-        self.html_file = os.path.join(score_dir, "detailed_results.html")
-        self.score_dir = score_dir
-        logger.info(f"Read ingestion results from {prediction_dir}")
-
     def save_leaderboard_result(self, output_dir):
 
         score_file = os.path.join(output_dir, "scores.json")
         with open(score_file, "w") as f_score:
             f_score.write(json.dumps({"gpu_detected": self.gpu_detected}, indent=4))
-
-    def write_html(self, content):
-        with open(self.html_file, "a", encoding="utf-8") as f:
-            f.write(content)