code: def pairwise_distances(
      coords1: np.ndarray, coords2: np.ndarray
  ) -> np.ndarray:
      """Returns matrix of pairwise Euclidean distances.
  
      Parameters
      ----------
      coords1: np.ndarray
          A numpy array of shape `(N, 3)`
      coords2: np.ndarray
          A numpy array of shape `(M, 3)`
  
      Returns
      -------
      np.ndarray
          A `(N,M)` array with pairwise distances.
      """
      return (
          np.sum((coords1[None, :] - coords2[:, None]) ** 2, -1) ** 0.5
      )
  
file_path: deepchem/deepchem/dock/pose_scoring.py
imports: import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: pairwise_distances(coords1, coords2) and returns: unknown