class_docstr: Collection of search results returned.
  
  Attributes:
      total_matches: Total number of near-duplicate matches found across all search queries.
  
      results: A list of Result objects corresponding to each search query result.
code: def __repr__(self) -> str:
      res = "-[Results Statistics]-\n"
      res += f"Number of Results: {len(self.results)}\n"
      res += f"Total Matches: {self.total_matches}\n"
      return res
  
file_path: unisim/unisim/dataclass.py
imports: from __future__ import annotations
  import dataclasses
  from typing import Any, List
  from .types import Embedding
label_desc: Use image node_id 1 for calling the ResultCollection obj's underlying member method code with example usage: obj.__repr__() and returns: res