Download vanishing_objects/utils.py from aggr8/Percept-V: direct link, hf CLI and curl.
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- Download file 2.4 kB
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https://huggingface.co/datasets/aggr8/Percept-V/resolve/main/vanishing_objects/utils.py
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hf download hf://datasets/aggr8/Percept-V/vanishing_objects/utils.py
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curl -L -o utils.py https://huggingface.co/datasets/aggr8/Percept-V/resolve/main/vanishing_objects/utils.py
2.4 kB
| import re | |
| def output_from_text(text): | |
| #extract the number in the last line of text | |
| try: | |
| lines = text.strip().split("\n") | |
| lines = list(filter(None, lines)) | |
| pattern = r'^[^a-zA-Z0-9\s]+$' | |
| lines = [s for s in lines if not re.fullmatch(pattern, s)] | |
| diff = -1 | |
| diff = int(re.findall(r"\b\d+\b", lines[-1])[0]) | |
| if diff != -1: | |
| return { | |
| "OUTPUT": diff, | |
| "ERROR": None | |
| } | |
| else: | |
| return{ | |
| "OUTPUT": None, | |
| "ERROR": 'Does not give correct format' | |
| } | |
| except Exception as e: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": str(e) | |
| } | |
| """import json | |
| import os | |
| def output_from_text(output_text): | |
| try: | |
| output_text = output_text.split('\n') | |
| # print(output_text) | |
| out_words = output_text[-1].split(' ') | |
| if len(out_words) != 1: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": "Output file should have only 1 word" | |
| } | |
| else: | |
| count = out_words[0].split(':') | |
| if (count[0] == 'COUNT'): | |
| return { | |
| "OUTPUT": { | |
| "vanished": int(count[1]) | |
| }, | |
| "ERROR": None | |
| } | |
| else: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": "Output format is not correct" | |
| } | |
| except Exception as e: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": f"Unexpected error while parsing {str(e)}\n" | |
| } | |
| def gold_to_output(i): | |
| gold_output = None | |
| try: | |
| #get directory of this file | |
| dir_of_file = os.path.dirname(os.path.realpath(__file__)) | |
| #open the data file | |
| with open(dir_of_file + "\data.json") as f: | |
| data = json.load(f) | |
| row = data[i] | |
| circles = row['circles'] | |
| triangles = row['triangles'] | |
| squares = row['squares'] | |
| vanished = row['vanished'] | |
| output_prompt = f"CIRCLES:{circles} TRIANGLES:{triangles} SQUARES:{squares} VANISHED:{vanished}" | |
| except Exception as e: | |
| return { | |
| "OUTPUT": None, | |
| "ERROR": str(e) | |
| } | |
| return { | |
| "OUTPUT": output_prompt, | |
| "ERROR": None | |
| }""" | |