code: def binary_search_alignments(
      inds: List[int],
      max_audio_read_sec: float,
      min_alignment_count: int,
      alignments: List[float],
  ) -> int:
      """
      Binary search to find the index of the alignment that satisfies the maximum audio read duration,
      `max_audio_read_sec`. This is used to avoid reading the short audio files.
      NOTE: `offset_max` should be at least 1 to avoid feeding max=0 to random sampling function.
  
      Args:
          inds (list): List of indices to search from
          max_audio_read_sec (float): Maximum audio read duration
          min_alignment_count (int): Minimum number of alignments to read
          audio_manifest (dict): Dictionary containing the audio file's alignments
  
      Returns:
          offset_max (int) Index of the alignment that satisfies the maximum audio read duration
      """
      # Start from the left end (at index 0) and -1 * min_alignment_count for the right end
      left, right = 0, len(inds) - 1 - min_alignment_count
      while left < right:
          mid = left + (right - left) // 2
          dur_left = (
              alignments[-1 * min_alignment_count]
              - alignments[inds[mid]]
          )
          if dur_left < max_audio_read_sec:
              right = mid - 1
          elif dur_left > max_audio_read_sec:
              left = mid + 1
          else:
              break
      mid_out = left + (right - left) // 2
      # If mid_out is on the boundary, move it to the left.
      if (
          alignments[-1 * min_alignment_count]
          - alignments[inds[mid_out]]
          < max_audio_read_sec
      ):
          mid_out -= 1
      offset_max = max(mid_out, 1)
      return offset_max
  
imports: import copy
  import os
  import shutil
  from collections import defaultdict
  from typing import IO, Dict, List, Optional, Tuple
  import numpy
  import torch
  from scipy.stats import beta, gamma
  from tqdm import tqdm
  from nemo.collections.asr.parts.preprocessing.perturb import AudioAugmentor
  from nemo.collections.asr.parts.preprocessing.segment import AudioSegment
  from nemo.collections.asr.parts.utils.manifest_utils import get_ctm_line, read_manifest, write_ctm, write_manifest, write_text
  from nemo.collections.asr.parts.utils.speaker_utils import labels_to_rttmfile
  from nemo.utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: binary_search_alignments(inds, max_audio_read_sec, min_alignment_count, alignments) and returns: offset_max