SYMBOL INDEX (68 symbols across 16 files)

FILE: experiments/case_hold.py
  class ModelArguments (line 37) | class ModelArguments:
  class DataTrainingArguments (line 58) | class DataTrainingArguments:
  function main (line 104) | def main():
  function _mp_fn (line 299) | def _mp_fn(index):

FILE: experiments/casehold_helpers.py
  class InputFeatures (line 18) | class InputFeatures:
  class Split (line 30) | class Split(Enum):
  class MultipleChoiceDataset (line 40) | class MultipleChoiceDataset(Dataset):
    method __init__ (line 47) | def __init__(
    method __len__ (line 97) | def __len__(self):
    method __getitem__ (line 100) | def __getitem__(self, i) -> InputFeatures:
  class TFMultipleChoiceDataset (line 107) | class TFMultipleChoiceDataset:
    method __init__ (line 114) | def __init__(
    method get_dataset (line 173) | def get_dataset(self):
    method __len__ (line 178) | def __len__(self):
    method __getitem__ (line 181) | def __getitem__(self, i) -> InputFeatures:
  function convert_examples_to_features (line 185) | def convert_examples_to_features(

FILE: experiments/ecthr.py
  class DataTrainingArguments (line 51) | class DataTrainingArguments:
  class ModelArguments (line 123) | class ModelArguments:
  function main (line 165) | def main():

FILE: experiments/eurlex.py
  class DataTrainingArguments (line 47) | class DataTrainingArguments:
  class ModelArguments (line 99) | class ModelArguments:
  function main (line 138) | def main():

FILE: experiments/ledgar.py
  class DataTrainingArguments (line 47) | class DataTrainingArguments:
  class ModelArguments (line 99) | class ModelArguments:
  function main (line 138) | def main():

FILE: experiments/scotus.py
  class DataTrainingArguments (line 51) | class DataTrainingArguments:
  class ModelArguments (line 117) | class ModelArguments:
  function main (line 159) | def main():

FILE: experiments/trainer.py
  class MultilabelTrainer (line 5) | class MultilabelTrainer(Trainer):
    method compute_loss (line 6) | def compute_loss(self, model, inputs, return_outputs=False):

FILE: experiments/unfair_tos.py
  class DataTrainingArguments (line 48) | class DataTrainingArguments:
  class ModelArguments (line 100) | class ModelArguments:
  function main (line 139) | def main():

FILE: models/deberta.py
  class ContextPooler (line 8) | class ContextPooler(nn.Module):
    method __init__ (line 9) | def __init__(self, config):
    method forward (line 15) | def forward(self, hidden_states):
    method output_dim (line 26) | def output_dim(self):
  class DropoutContext (line 30) | class DropoutContext(object):
    method __init__ (line 31) | def __init__(self):
  function get_mask (line 38) | def get_mask(input, local_context):
  class XDropout (line 57) | class XDropout(torch.autograd.Function):
    method forward (line 61) | def forward(ctx, input, local_ctx):
    method backward (line 71) | def backward(ctx, grad_output):
  class StableDropout (line 79) | class StableDropout(nn.Module):
    method __init__ (line 87) | def __init__(self, drop_prob):
    method forward (line 93) | def forward(self, x):
    method clear_context (line 104) | def clear_context(self):
    method init_context (line 108) | def init_context(self, reuse_mask=True, scale=1):
    method get_context (line 116) | def get_context(self):
  class DebertaForSequenceClassification (line 128) | class DebertaForSequenceClassification(DebertaPreTrainedModel):
    method __init__ (line 129) | def __init__(self, config):
    method get_input_embeddings (line 144) | def get_input_embeddings(self):
    method set_input_embeddings (line 147) | def set_input_embeddings(self, new_embeddings):
    method forward (line 150) | def forward(
  class DebertaForMultipleChoice (line 216) | class DebertaForMultipleChoice(DebertaPreTrainedModel):
    method __init__ (line 217) | def __init__(self, config):
    method forward (line 230) | def forward(

FILE: models/hierbert.py
  class SimpleOutput (line 11) | class SimpleOutput(ModelOutput):
  function sinusoidal_init (line 19) | def sinusoidal_init(num_embeddings: int, embedding_dim: int):
  class HierarchicalBert (line 30) | class HierarchicalBert(nn.Module):
    method __init__ (line 32) | def __init__(self, encoder, max_segments=64, max_segment_length=128):
    method forward (line 55) | def forward(self,

FILE: models/tfidf_svm.py
  function main (line 22) | def main():

FILE: statistics/compute_avg_lexglue_scores.py
  function main (line 9) | def main():

FILE: statistics/compute_avg_scores.py
  function main (line 10) | def main():

FILE: statistics/compute_lexglue_scores.py
  function main (line 8) | def main():

FILE: statistics/report_model_results.py
  function main (line 6) | def main():

FILE: statistics/report_train_time.py
  function main (line 7) | def main():