docstr: Extract all numbers that have the bold font attribute.
  
  Args:
    out: An instance of RichTextLines.
    start_line: 0-based index to start from.
  
  Returns:
    A list of floats.
docstr_tok: ["Extract","all","numbers","that","have","the","bold","font","attribute",".","Args",":","out",":","An","instance","of","RichTextLines",".","start_line",":","0-based","index","to","start","from",".","Returns",":","A","list","of","floats","."]
code: def _extractBoldNumbers(self, out, start_line):
      """Extract all numbers that have the bold font attribute.
  
      Args:
        out: An instance of RichTextLines.
        start_line: 0-based index to start from.
  
      Returns:
        A list of floats.
      """
      floats = []
      for i in range(start_line, len(out.lines)):
          if i not in out.font_attr_segs:
              continue
          line_attrs = out.font_attr_segs[i]
          for begin, end, attr_value in line_attrs:
              if attr_value == "bold":
                  floats.append(float(out.lines[i][begin:end]))
      return floats
  
imports: import re
  import numpy
  from tensorflow.core.framework import tensor_pb2
  from tensorflow.core.framework import tensor_shape_pb2
  from tensorflow.core.framework import types_pb2
  from tensorflow.python.debug.cli import cli_test_utils
  from tensorflow.python.debug.cli import tensor_format
  from tensorflow.python.debug.lib import debug_data
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 6 for calling the RichTextLinesTest obj's underlying member method code with example usage: obj._extractBoldNumbers(out, start_line) and returns: floats