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import gradio as gr |
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import subprocess |
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import sys |
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import os |
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import threading |
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class Logger: |
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def __init__(self, filename): |
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self.terminal = sys.stdout |
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self.log = open(filename, "w") |
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def write(self, message): |
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self.terminal.write(message) |
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self.log.write(message) |
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self.log.flush() |
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def flush(self): |
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self.terminal.flush() |
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self.log.flush() |
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def isatty(self): |
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return False |
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log_file = "bigcodebench_output.log" |
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sys.stdout = Logger(log_file) |
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def generate_command( |
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jsonl_file, split, subset, save_pass_rate, 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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if jsonl_file is None: |
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return "Please upload a JSONL file" |
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samples = os.path.basename(jsonl_file.name) |
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command = [ |
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"bigcodebench.evaluate", |
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"--split", split, |
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"--subset", subset, |
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"--samples", samples |
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] |
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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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command.extend([ |
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"--min-time-limit", str(min_time_limit), |
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"--max-as-limit", str(int(max_as_limit)), |
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"--max-data-limit", str(int(max_data_limit)), |
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"--max-stack-limit", str(int(max_stack_limit)) |
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]) |
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if check_gt_only: |
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command.append("--check-gt-only") |
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if no_gt: |
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command.append("--no-gt") |
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return " ".join(command) |
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def run_bigcodebench(command): |
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print(f"Executing command: {command}") |
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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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print(line, end='') |
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process.wait() |
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if process.returncode != 0: |
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print(f"Error: Command exited with status {process.returncode}") |
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def read_logs(): |
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with open(log_file, "r") as f: |
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return f.read() |
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def run(): |
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with gr.Blocks() as demo: |
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gr.Markdown("# BigCodeBench Evaluation App") |
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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=["full", "hard"], label="Subset", value="full") |
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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=128*1024, precision=0) |
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with gr.Row(): |
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max_data_limit = gr.Number(label="Max Data Limit", value=4*1024, precision=0) |
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max_stack_limit = gr.Number(label="Max Stack Limit", value=5, precision=0) |
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check_gt_only = gr.Checkbox(label="Check GT Only") |
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no_gt = gr.Checkbox(label="No GT") |
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command_output = gr.Textbox(label="Command", lines=2) |
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submit_btn = gr.Button("Run Evaluation") |
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log_output = gr.Textbox(label="Execution Logs", lines=10) |
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def update_command(*args): |
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return generate_command(*args) |
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input_components = [ |
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jsonl_file, split, subset, save_pass_rate, 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 component in input_components: |
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component.change(update_command, inputs=input_components, outputs=command_output) |
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def on_submit(command): |
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threading.Thread(target=run_bigcodebench, args=(command,), daemon=True).start() |
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return "Evaluation started. Please wait for the logs to update..." |
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submit_btn.click(on_submit, inputs=[command_output], outputs=[log_output]) |
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demo.load(read_logs, None, log_output, every=1) |
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demo.queue().launch() |
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if __name__ == "__main__": |
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run() |