docstr: "Implement abstract method.
docstr_tok: ["``","Implement","abstract","method","."]
code: def process_samples_from_single_path(self, filename):
      """ "Implement abstract method."""
      print_rank_0(" > Processing {} ...".format(filename))
  
      samples = []
      total = 0
      first = True
      is_test = False
      with open(filename, "r") as f:
          for line in f:
              row = line.strip().split("\t")
              if first:
                  first = False
                  if len(row) == 3:
                      is_test = True
                      print_rank_0(
                          "   reading {}, {}, and {} columns and "
                          "setting labels to {}".format(
                              row[0].strip(),
                              row[1].strip(),
                              row[2].strip(),
                              self.test_label,
                          )
                      )
                  else:
                      assert len(row) == 6
                      print_rank_0(
                          "    reading {}, {}, {}, and {} columns"
                          " ...".format(
                              row[0].strip(),
                              row[3].strip(),
                              row[4].strip(),
                              row[5].strip(),
                          )
                      )
                  continue
  
              if is_test:
                  assert len(row) == 3, "expected length 3: {}".format(
                      row
                  )
                  uid = int(row[0].strip())
                  text_a = clean_text(row[1].strip())
                  text_b = clean_text(row[2].strip())
                  label = self.test_label
                  assert len(text_a) > 0
                  assert len(text_b) > 0
              else:
                  if len(row) == 6:
                      uid = int(row[0].strip())
                      text_a = clean_text(row[3].strip())
                      text_b = clean_text(row[4].strip())
                      label = int(row[5].strip())
                  else:
                      print_rank_0(
                          "***WARNING*** index error, "
                          "skipping: {}".format(row)
                      )
                      continue
                  if len(text_a) == 0:
                      print_rank_0(
                          "***WARNING*** zero length a, "
                          "skipping: {}".format(row)
                      )
                      continue
                  if len(text_b) == 0:
                      print_rank_0(
                          "***WARNING*** zero length b, "
                          "skipping: {}".format(row)
                      )
                      continue
              assert label in LABELS
              assert uid >= 0
  
              sample = {
                  "uid": uid,
                  "text_a": text_a,
                  "text_b": text_b,
                  "label": label,
              }
              total += 1
              samples.append(sample)
  
              if total % 50000 == 0:
                  print_rank_0(
                      "  > processed {} so far ...".format(total)
                  )
  
      print_rank_0(" >> processed {} samples.".format(len(samples)))
      return samples
  
imports: from megatron import print_rank_0
  from tasks.data_utils import clean_text
  from .data import GLUEAbstractDataset
label_desc: Use image node_id 2 for calling the QQPDataset obj's underlying member method code with example usage: obj.process_samples_from_single_path(filename) and returns: samples