code: 
  
  
  
  
  
  import textwrap
  
  import pyarrow as pa
  import pytest
  
  from datasets import Features, Value
  from datasets.packaged_modules.json.json import Json
  
  @pytest.fixture
  def     a						(      _lowercase   :     List[Any]       )     ->List[str]:
  		UpperCamelCase__         =	tmp_path / '''file.jsonl'''
  		UpperCamelCase__         =	textwrap.dedent(
  		    """\
          {\"col_1\": -1}
          {\"col_1\": 1, \"col_2\": 2}
          {\"col_1\": 10, \"col_2\": 20}
          """       )
  		with open(SCREAMING_SNAKE_CASE__ ,						"""w"""       ) as f:
  				f.write(SCREAMING_SNAKE_CASE__       )
  		return str(SCREAMING_SNAKE_CASE__       )
  
  @pytest.fixture
  def     a						(      _lowercase   :     List[str]       )     ->Tuple:
  		UpperCamelCase__         =	tmp_path / '''file_utf16_encoded.jsonl'''
  		UpperCamelCase__         =	textwrap.dedent(
  		    """\
          {\"col_1\": -1}
          {\"col_1\": 1, \"col_2\": 2}
          {\"col_1\": 10, \"col_2\": 20}
          """       )
  		with open(SCREAMING_SNAKE_CASE__ ,						"""w""" ,						encoding="""utf-16"""       ) as f:
  				f.write(SCREAMING_SNAKE_CASE__       )
  		return str(SCREAMING_SNAKE_CASE__       )
  
  @pytest.fixture
  def     a						(      _lowercase   :     Union[str, Any]       )     ->int:
  		UpperCamelCase__         =	tmp_path / '''file_with_list_of_dicts.json'''
  		UpperCamelCase__         =	textwrap.dedent(
  		    """\
          [
              {\"col_1\": -1},
              {\"col_1\": 1, \"col_2\": 2},
              {\"col_1\": 10, \"col_2\": 20}
          ]
          """       )
  		with open(SCREAMING_SNAKE_CASE__ ,						"""w"""       ) as f:
  				f.write(SCREAMING_SNAKE_CASE__       )
  		return str(SCREAMING_SNAKE_CASE__       )
  
  @pytest.fixture
  def     a						(      _lowercase   :     Optional[Any]       )     ->Union[str, Any]:
  		UpperCamelCase__         =	tmp_path / '''file_with_list_of_dicts_field.json'''
  		UpperCamelCase__         =	textwrap.dedent(
  		    """\
          {
              \"field1\": 1,
              \"field2\": \"aabb\",
              \"field3\": [
                  {\"col_1\": -1},
                  {\"col_1\": 1, \"col_2\": 2},
                  {\"col_1\": 10, \"col_2\": 20}
              ]
          }
          """       )
  		with open(SCREAMING_SNAKE_CASE__ ,						"""w"""       ) as f:
  				f.write(SCREAMING_SNAKE_CASE__       )
  		return str(SCREAMING_SNAKE_CASE__       )
  
  @pytest.mark.parametrize(
      """file_fixture, config_kwargs""" ,						[
          ("""jsonl_file""", {}),
          ("""jsonl_file_utf16_encoded""", {"""encoding""": """utf-16"""}),
          ("""json_file_with_list_of_dicts""", {}),
          ("""json_file_with_list_of_dicts_field""", {"""field""": """field3"""}),
      ] ,						)
  def     a						(      _lowercase   :     int ,						_lowercase   :     int ,						_lowercase   :     Optional[int]       )     ->Any:
  		UpperCamelCase__         =	Json(**SCREAMING_SNAKE_CASE__       )
  		UpperCamelCase__         =	json._generate_tables([[request.getfixturevalue(SCREAMING_SNAKE_CASE__       )]]       )
  		UpperCamelCase__         =	pa.concat_tables([table for _, table in generator]       )
  		assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0]}
  
  @pytest.mark.parametrize(
      """file_fixture, config_kwargs""" ,						[
          (
              """jsonl_file""",
              {"""features""": Features({"""col_1""": Value("""int64"""       ), """col_2""": Value("""int64"""       ), """missing_col""": Value("""string"""       )}       )},
          ),
          (
              """json_file_with_list_of_dicts""",
              {"""features""": Features({"""col_1""": Value("""int64"""       ), """col_2""": Value("""int64"""       ), """missing_col""": Value("""string"""       )}       )},
          ),
          (
              """json_file_with_list_of_dicts_field""",
              {
                  """field""": """field3""",
                  """features""": Features(
                      {"""col_1""": Value("""int64"""       ), """col_2""": Value("""int64"""       ), """missing_col""": Value("""string"""       )}       ),
              },
          ),
      ] ,						)
  def     a						(      _lowercase   :     int ,						_lowercase   :     Any ,						_lowercase   :     List[Any]       )     ->Dict:
  		UpperCamelCase__         =	Json(**SCREAMING_SNAKE_CASE__       )
  		UpperCamelCase__         =	json._generate_tables([[request.getfixturevalue(SCREAMING_SNAKE_CASE__       )]]       )
  		UpperCamelCase__         =	pa.concat_tables([table for _, table in generator]       )
  		assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0], "missing_col": [None, None, None]}
  
  
  
  
style_context: 
  
  
  
  
  
  from dataclasses import dataclass
  
  __lowerCAmelCase     =			"0.1"
  __lowerCAmelCase     =			"Lucia Harcekova"
  
  
  
  
  @dataclass
  class   _UpperCAmelCase	:
  					__A          =   42
  					__A          =   42
  					__A          =   42
  
  
  
  
  					def __repr__(						self       )						->  str:
  							return F"""({self.offset}, {self.length}, {self.indicator})"""
  
  
  
  
  class   _UpperCAmelCase	:
  
  
  
  
  					def __init__(						self    ,      __lowerCAmelCase = 13    ,      __lowerCAmelCase = 6       )						->  None:
  							UpperCamelCase__         =	window_size
  							UpperCamelCase__         =	lookahead_buffer_size
  							UpperCamelCase__         =	self.window_size - self.lookahead_buffer_size
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  list[Token]:
  							UpperCamelCase__         =	[]
  							UpperCamelCase__         =	""""""
  
  							# while there are still characters in text to compress
  							while text:
  									# find the next encoding phrase
  									# - triplet with offset, length, indicator (the next encoding character)
  									UpperCamelCase__         =	self._find_encoding_token(__lowerCAmelCase    ,      __lowerCAmelCase       )
  
  									# update the search buffer:
  									# - add new characters from text into it
  									# - check if size exceed the max search buffer size, if so, drop the
  									#   oldest elements
  									search_buffer += text[: token.length + 1]
  									if len(__lowerCAmelCase       ) > self.search_buffer_size:
  											UpperCamelCase__         =	search_buffer[-self.search_buffer_size :]
  
  									# update the text
  									UpperCamelCase__         =	text[token.length + 1 :]
  
  									# append the token to output
  									output.append(__lowerCAmelCase       )
  
  							return output
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  str:
  							UpperCamelCase__         =	""""""
  
  							for token in tokens:
  									for _ in range(token.length       ):
  											output += output[-token.offset]
  									output += token.indicator
  
  							return output
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase    ,      __lowerCAmelCase       )						->  Token:
  
  							if not text:
  									raise ValueError("""We need some text to work with."""       )
  
  							# Initialise result parameters to default values
  							UpperCamelCase__  ,			UpperCamelCase__         =	0, 0
  
  							if not search_buffer:
  									return Token(__lowerCAmelCase    ,      __lowerCAmelCase    ,      text[length]       )
  
  							for i, character in enumerate(__lowerCAmelCase       ):
  									UpperCamelCase__         =	len(__lowerCAmelCase       ) - i
  									if character == text[0]:
  											UpperCamelCase__         =	self._match_length_from_index(__lowerCAmelCase    ,      __lowerCAmelCase    ,      0    ,      __lowerCAmelCase       )
  											# if the found length is bigger than the current or if it's equal,
  											# which means it's offset is smaller: update offset and length
  											if found_length >= length:
  													UpperCamelCase__  ,			UpperCamelCase__         =	found_offset, found_length
  
  							return Token(__lowerCAmelCase    ,      __lowerCAmelCase    ,      text[length]       )
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase    ,      __lowerCAmelCase    ,      __lowerCAmelCase    ,      __lowerCAmelCase       )						->  int:
  							if not text or text[text_index] != window[window_index]:
  									return 0
  							return 1 + self._match_length_from_index(
  							    __lowerCAmelCase    ,      window + text[text_index]    ,      text_index + 1    ,      window_index + 1       )
  
  
  if __name__ == "__main__":
  				from doctest import testmod
  
  				testmod()
  				# Initialize compressor class
  				__lowerCAmelCase     =			LZaaCompressor(window_size=13, lookahead_buffer_size=6)
  
  				# Example
  				__lowerCAmelCase     =			"cabracadabrarrarrad"
  				__lowerCAmelCase     =			lzaa_compressor.compress(TEXT)
  				print(lzaa_compressor.compress("ababcbababaa"))
  				__lowerCAmelCase     =			lzaa_compressor.decompress(compressed_text)
  				assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."
  
  
  
  
  
  