SYMBOL INDEX (28 symbols across 4 files)

FILE: generate_instruction.py
  function encode_prompt (line 27) | def encode_prompt(prompt_instructions):
  function post_process_gpt3_response (line 44) | def post_process_gpt3_response(num_prompt_instructions, response):
  function find_word_in_string (line 106) | def find_word_in_string(w, s):
  function generate_instruction_following_data (line 110) | def generate_instruction_following_data(
  function main (line 212) | def main(task, **kwargs):

FILE: train.py
  class ModelArguments (line 46) | class ModelArguments:
  class DataArguments (line 51) | class DataArguments:
  class TrainingArguments (line 56) | class TrainingArguments(transformers.TrainingArguments):
  function smart_tokenizer_and_embedding_resize (line 65) | def smart_tokenizer_and_embedding_resize(
  function _tokenize_fn (line 88) | def _tokenize_fn(strings: Sequence[str], tokenizer: transformers.PreTrai...
  function preprocess (line 112) | def preprocess(
  class SupervisedDataset (line 127) | class SupervisedDataset(Dataset):
    method __init__ (line 130) | def __init__(self, data_path: str, tokenizer: transformers.PreTrainedT...
    method __len__ (line 149) | def __len__(self):
    method __getitem__ (line 152) | def __getitem__(self, i) -> Dict[str, torch.Tensor]:
  class DataCollatorForSupervisedDataset (line 157) | class DataCollatorForSupervisedDataset(object):
    method __call__ (line 162) | def __call__(self, instances: Sequence[Dict]) -> Dict[str, torch.Tensor]:
  function make_supervised_data_module (line 175) | def make_supervised_data_module(tokenizer: transformers.PreTrainedTokeni...
  function train (line 182) | def train():

FILE: utils.py
  class OpenAIDecodingArguments (line 25) | class OpenAIDecodingArguments(object):
  function openai_completion (line 39) | def openai_completion(
  function _make_w_io_base (line 133) | def _make_w_io_base(f, mode: str):
  function _make_r_io_base (line 142) | def _make_r_io_base(f, mode: str):
  function jdump (line 148) | def jdump(obj, f, mode="w", indent=4, default=str):
  function jload (line 168) | def jload(f, mode="r"):

FILE: weight_diff.py
  function make_diff (line 25) | def make_diff(
  function recover (line 71) | def recover(
  function main (line 153) | def main(task, **kwargs):