Download evaluation/action_metrics.py from QLU-LLM/CAD: direct link, hf CLI and curl.
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https://huggingface.co/datasets/QLU-LLM/CAD/resolve/main/evaluation/action_metrics.py
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hf download hf://datasets/QLU-LLM/CAD/evaluation/action_metrics.py
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curl -L -o action_metrics.py https://huggingface.co/datasets/QLU-LLM/CAD/resolve/main/evaluation/action_metrics.py
4.74 kB
| # -*- coding: utf-8 -*- | |
| """Compare action types, coordinates, numeric inputs, and control sequences.""" | |
| from decimal import Decimal, InvalidOperation | |
| import json | |
| import math | |
| import re | |
| TYPE_NUMBER_PATTERN = re.compile( | |
| r"[+-]?(?:(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][+-]?\d+)?)" | |
| ) | |
| def numeric_type_signature(value): | |
| """Normalize numeric spelling while preserving all keyboard controls.""" | |
| if not isinstance(value, str): | |
| return None | |
| normalized = value.replace("\r\n", "\n").replace("\r", "\n") | |
| matches = list(TYPE_NUMBER_PATTERN.finditer(normalized)) | |
| if not matches: | |
| return None | |
| numbers = [] | |
| separators = [] | |
| cursor = 0 | |
| try: | |
| for match in matches: | |
| separators.append(normalized[cursor:match.start()]) | |
| number = Decimal(match.group(0)) | |
| if not number.is_finite(): | |
| return None | |
| numbers.append(number) | |
| cursor = match.end() | |
| except InvalidOperation: | |
| return None | |
| separators.append(normalized[cursor:]) | |
| return tuple(numbers), tuple(separators) | |
| def parameter_coordinates(value): | |
| """Decode a coordinate pair independently of the predicted action tag.""" | |
| candidate = value | |
| if isinstance(candidate, str): | |
| try: | |
| candidate = json.loads(candidate.strip()) | |
| except Exception: | |
| return None | |
| if not isinstance(candidate, (list, tuple)) or len(candidate) != 2: | |
| return None | |
| try: | |
| result = [float(candidate[0]), float(candidate[1])] | |
| except (TypeError, ValueError): | |
| return None | |
| if not all(math.isfinite(item) for item in result): | |
| return None | |
| return result | |
| def compare_to_reference(generated, expected, record=None, | |
| screen_size=(1920, 1080)): | |
| """Compare two parsed actions using the canonical CAD-Drawer protocol.""" | |
| result = { | |
| "action_match": generated.action == expected.action, | |
| "parameter_match": False, | |
| "step_success": False, | |
| "full_match": False, | |
| } | |
| # Parameters use the reference action schema. Thus click and double_click | |
| # at the same target can have Parameter=1 while Action=0 and Step=0. | |
| if expected.action in ("click", "double_click"): | |
| generated_coordinates = parameter_coordinates(generated.parameters) | |
| if generated_coordinates is None: | |
| return result | |
| dx = generated_coordinates[0] - expected.parameters[0] | |
| dy = generated_coordinates[1] - expected.parameters[1] | |
| result["normalized_l2"] = round(math.hypot(dx, dy), 8) | |
| result["pixel_l2_at_1920x1080"] = round(math.hypot( | |
| dx * float(screen_size[0]), dy * float(screen_size[1])), 3) | |
| bounds = None | |
| if record is not None: | |
| values = [record.get(name) for name in ( | |
| "x_min_norm", "x_max_norm", "y_min_norm", "y_max_norm")] | |
| if all(value is not None for value in values): | |
| bounds = [float(value) for value in values] | |
| if bounds is not None: | |
| x_min, x_max, y_min, y_max = bounds | |
| result["parameter_match"] = ( | |
| x_min <= generated_coordinates[0] <= x_max and | |
| y_min <= generated_coordinates[1] <= y_max | |
| ) | |
| result["target_bbox_norm"] = bounds | |
| else: | |
| result["parameter_match"] = math.hypot( | |
| dx * float(screen_size[0]), | |
| dy * float(screen_size[1]), | |
| ) <= 5.0 | |
| elif expected.action == "type": | |
| generated_signature = numeric_type_signature(generated.parameters) | |
| expected_signature = numeric_type_signature(expected.parameters) | |
| if generated_signature is not None and expected_signature is not None: | |
| result["parameter_match"] = ( | |
| generated_signature == expected_signature) | |
| result["parameter_match_mode"] = ( | |
| "numeric_value_and_control_sequence") | |
| else: | |
| generated_text = ( | |
| generated.parameters.replace("\r\n", "\n").replace("\r", "\n") | |
| if isinstance(generated.parameters, str) else None) | |
| expected_text = ( | |
| expected.parameters.replace("\r\n", "\n").replace("\r", "\n") | |
| if isinstance(expected.parameters, str) else None) | |
| result["parameter_match"] = generated_text == expected_text | |
| result["parameter_match_mode"] = "exact_control_text" | |
| else: | |
| result["parameter_match"] = ( | |
| generated.parameters == expected.parameters) | |
| result["step_success"] = ( | |
| result["action_match"] and result["parameter_match"]) | |
| result["full_match"] = result["step_success"] | |
| return result | |