code: def to_expression_jarray(exprs):
      """
      Convert python list of Expression to java array of Expression.
      """
      gateway = get_gateway()
      return to_jarray(
          gateway.jvm.Expression, [expr._j_expr for expr in exprs]
      )
  
file_path: flink/flink-python/pyflink/table/utils.py
imports: import ast
  from pyflink.common.types import RowKind
  from pyflink.java_gateway import get_gateway
  from pyflink.table.types import DataType, LocalZonedTimestampType, Row, RowType, TimeType, DateType, ArrayType, MapType, TimestampType, FloatType, RawType
  from pyflink.util.java_utils import to_jarray
  import datetime
  import pickle
label_desc: Use image node_id 5 for calling a global function with example usage: to_expression_jarray(exprs) and returns: to_jarray