class_docstr: JsonReader provides an interface for reading in a JSON file.
  
  If initialized with ``lines=True`` and ``chunksize``, can be iterated over
  ``chunksize`` lines at a time. Otherwise, calling ``read`` reads in the
  whole document.
class_docstr_tok: ["JsonReader","provides","an","interface","for","reading","in","a","JSON","file",".","If","initialized","with","``","lines=True","``","and","``","chunksize","``",",","can","be","iterated","over","``","chunksize","``","lines","at","a","time",".","Otherwise",",","calling","``","read","``","reads","in","the","whole","document","."]
docstr: Combines a list of JSON objects into one JSON object.
docstr_tok: ["Combines","a","list","of","JSON","objects","into","one","JSON","object","."]
code: def _combine_lines(self, lines):
      """
      Combines a list of JSON objects into one JSON object.
      """
      lines = filter(None, map(lambda x: x.strip(), lines))
      return "[" + ",".join(lines) + "]"
  
imports: from itertools import islice
  import os
  import numpy
  import pandas._libs.json
  from pandas._libs.tslibs import iNaT
  from pandas.compat import StringIO, long, to_str, u
  from pandas.errors import AbstractMethodError
  from pandas.core.dtypes.common import is_period_dtype
  from pandas import DataFrame, MultiIndex, Series, compat, isna, to_datetime
  from pandas.core.reshape.concat import concat
  from pandas.io.common import BaseIterator, _get_handle, _infer_compression, _stringify_path, get_filepath_or_buffer
  from pandas.io.formats.printing import pprint_thing
  from pandas.io.parsers import _validate_integer
  from .normalize import _convert_to_line_delimits
  from .table_schema import build_table_schema, parse_table_schema
label_desc: Use image node_id 4 for calling the JsonReader obj's underlying member method code with example usage: obj._combine_lines(lines) and returns: unknown