For example, kill command contains python3 -u experiment_main.py
kill $(ps aux | grep '[p]ython3 -u experiment_main.py' | awk '{print $2}')
hdfs dfs -ls / | sort -k6,7
""" | |
IOB1: O I I B I | |
IOB2: O B I B I | |
""" | |
from typing import List | |
def iob2(tags: List[str]): | |
""" | |
Check that tags have a valid IOB format. |
import torch | |
from fairseq.models.bart import BARTModel | |
bart = BARTModel.from_pretrained( | |
'model_files/bart-large-model', | |
checkpoint_file='checkpoint_best.pt', | |
data_name_or_path='data/cloze_replace_all-bin' | |
) | |
bart.cuda() |
def iob_iobes(tags): | |
""" | |
IOB2 (BIO) -> IOBES | |
""" | |
new_tags = [] | |
for i, tag in enumerate(tags): | |
if tag == 'O': | |
new_tags.append(tag) | |
elif tag.split('-')[0] == 'B': | |
if i + 1 != len(tags) and \ |
from torch.utils.data import DataLoader | |
from transformers import AutoTokenizer, PreTrainedTokenizerFast, set_seed, AutoModelForCausalLM, AutoConfig | |
from tqdm import tqdm | |
import argparse | |
import torch | |
import torch.nn as nn | |
import logging | |
from typing import Dict, Tuple | |
from accelerate import Accelerator, DistributedDataParallelKwargs | |
from accelerate.logging import get_logger |
""" | |
This is a simple example to show how to calculate the p_value of two models' accuracy | |
Bootstrapint t-test | |
""" | |
import random | |
random.seed(42) | |
# assume we have test set 1000 samples | |
# we just create dummy results to demo | |
groundtruth = [random.choice(['A', 'B', 'C']) for _ in range(1000)] |
{"name": "HumanEval_79_decimal_to_binary", "language": "py", "prompt": "def decimal_to_binary(decimal: int) -> str:\n \"\"\"You will be given a number in decimal form and your task is to convert it to\n binary format. The function should return a string, with each character representing a binary\n number. Each character in the string will be '0' or '1'.\n\n There will be an extra couple of characters 'db' at the beginning and at the end of the string.\n The extra characters are there to help with the format.\n\n Examples:\n >>> decimal_to_binary(15)\n 'db1111db'\n >>> decimal_to_binary(32)\n 'db100000db'\n \"\"\"\n", "doctests": "transform", "original": "/home/arjun/repos/nuprl/MultiPL-E/datasets/../datasets/originals-with-cleaned-doctests/HumanEval_79_decimal_to_binary.py", "prompt_terminology": "reworded", "stop_tokens": ["\ndef", "\n#", "\nif", "\nclass"], "entry_point": "decimal_to_binary", "test": "def check(candidate):\n assert candidate(0) == 'db0db'\n assert cand |