Terry Zhuo
commited on
Commit
•
a2d883f
1
Parent(s):
af3bf93
update
Browse files
app.py
CHANGED
@@ -14,7 +14,7 @@ default_command = "bigcodebench.evaluate"
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is_running = False
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def generate_command(
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jsonl_file, split, subset,
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min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
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check_gt_only, no_gt
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):
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@@ -28,9 +28,6 @@ def generate_command(
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command.extend(["--split", split, "--subset", subset])
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if save_pass_rate:
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command.append("--save_pass_rate")
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if parallel is not None and parallel != 0:
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command.extend(["--parallel", str(int(parallel))])
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@@ -67,27 +64,35 @@ def find_result_file():
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def run_bigcodebench(command):
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global is_running
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for line in process.stdout:
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yield line
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process.wait()
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if process.returncode != 0:
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yield f"Error: Command exited with status {process.returncode}\n"
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def stream_logs(command, jsonl_file=None):
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global is_running
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@@ -103,17 +108,16 @@ def stream_logs(command, jsonl_file=None):
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for log_line in run_bigcodebench(command):
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log_content.append(log_line)
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yield "".join(log_content)
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with gr.Blocks() as demo:
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gr.Markdown("# BigCodeBench Evaluator")
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with gr.Row():
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jsonl_file = gr.File(label="Upload JSONL file", file_types=[".jsonl"])
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split = gr.Dropdown(choices=["complete", "instruct"], label="Split", value="complete")
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subset = gr.Dropdown(choices=["
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with gr.Row():
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save_pass_rate = gr.Checkbox(label="Save Pass Rate")
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parallel = gr.Number(label="Parallel (optional)", precision=0)
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min_time_limit = gr.Number(label="Min Time Limit", value=1, precision=1)
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max_as_limit = gr.Number(label="Max AS Limit", value=25*1024, precision=0)
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@@ -131,7 +135,7 @@ with gr.Blocks() as demo:
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log_output = gr.Textbox(label="Execution Logs", lines=20)
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input_components = [
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jsonl_file, split, subset,
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min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
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check_gt_only, no_gt
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]
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@@ -148,7 +152,7 @@ with gr.Blocks() as demo:
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for log in stream_logs(command, jsonl_file):
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yield log, gr.update(value=result_path, label=result_path), gr.update()
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result_file = find_result_file()
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if result_file:
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return gr.update(label="Evaluation completed. Result file found."), gr.update(value=result_file)
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is_running = False
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def generate_command(
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jsonl_file, split, subset, parallel,
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min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
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check_gt_only, no_gt
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):
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command.extend(["--split", split, "--subset", subset])
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if parallel is not None and parallel != 0:
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command.extend(["--parallel", str(int(parallel))])
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def run_bigcodebench(command):
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global is_running
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with lock:
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if is_running:
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yield "A command is already running. Please wait for it to finish.\n"
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return
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is_running = True
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try:
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yield f"Executing command: {command}\n"
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process = subprocess.Popen(command.split(), stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
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for line in process.stdout:
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yield line
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process.wait()
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if process.returncode != 0:
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yield f"Error: Command exited with status {process.returncode}\n"
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yield "Evaluation completed.\n"
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result_file = find_result_file()
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if result_file:
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yield f"Result file found: {result_file}\n"
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else:
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yield "No result file found.\n"
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finally:
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with lock:
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is_running = False
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def stream_logs(command, jsonl_file=None):
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global is_running
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for log_line in run_bigcodebench(command):
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log_content.append(log_line)
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yield "".join(log_content)
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with gr.Blocks() as demo:
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gr.Markdown("# BigCodeBench Evaluator")
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with gr.Row():
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jsonl_file = gr.File(label="Upload JSONL file", file_types=[".jsonl"])
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split = gr.Dropdown(choices=["complete", "instruct"], label="Split", value="complete")
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subset = gr.Dropdown(choices=["hard"], label="Subset", value="hard")
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with gr.Row():
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parallel = gr.Number(label="Parallel (optional)", precision=0)
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min_time_limit = gr.Number(label="Min Time Limit", value=1, precision=1)
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max_as_limit = gr.Number(label="Max AS Limit", value=25*1024, precision=0)
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log_output = gr.Textbox(label="Execution Logs", lines=20)
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input_components = [
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jsonl_file, split, subset, parallel,
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min_time_limit, max_as_limit, max_data_limit, max_stack_limit,
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check_gt_only, no_gt
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]
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for log in stream_logs(command, jsonl_file):
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yield log, gr.update(value=result_path, label=result_path), gr.update()
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is_running = False
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result_file = find_result_file()
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if result_file:
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return gr.update(label="Evaluation completed. Result file found."), gr.update(value=result_file)
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