code: def flatten_predicate(expr):
      
  
      def predicate(expr):
          if isinstance(expr.op(), ops.And):
              return lin.proceed, None
          else:
              return lin.halt, expr
  
      return list(lin.traverse(predicate, expr, type=ir.BooleanColumn))
docs: Yield the expressions corresponding to the `And` nodes of a predicate.
  
      Parameters
      ----------
      expr : ir.BooleanColumn
  
      Returns
      -------
      exprs : List[ir.BooleanColumn]
  
      Examples
      --------
      >>> import ibis
      >>> t = ibis.table([('a', 'int64'), ('b', 'string')], name='t')
      >>> filt = (t.a == 1) & (t.b == 'foo')
      >>> predicates = flatten_predicate(filt)
      >>> len(predicates)
      2
      >>> predicates[0]  # doctest: +NORMALIZE_WHITESPACE
      ref_0
      UnboundTable[table]
        name: t
        schema:
          a : int64
          b : string
      Equals[boolean*]
        left:
          a = Column[int64*] 'a' from table
            ref_0
        right:
          Literal[int64]
            1
      >>> predicates[1]  # doctest: +NORMALIZE_WHITESPACE
      ref_0
      UnboundTable[table]
        name: t
        schema:
          a : int64
          b : string
      Equals[boolean*]
        left:
          b = Column[string*] 'b' from table
            ref_0
        right:
          Literal[string]
            foo