


'''simple docstring'''






import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil






@pytest.fixture
def 						_A					(lowerCAmelCase__	:Optional[int]		) ->	Dict:




     '''simple docstring'''



     _a         =				tmp_path / 'text.txt'
     _a         =				textwrap.dedent(
         '\\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n\n        Second paragraph:\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n        '		)
     with open(lowercase_					,    'w'					,    encoding='utf-8'		) as f:
          f.write(lowercase_		)
     return str(lowercase_		)






@pytest.fixture
def 						_A					(lowerCAmelCase__	:Optional[Any]					,    lowerCAmelCase__	:Union[str, Any]		) ->	Optional[Any]:




     '''simple docstring'''



     _a         =				tmp_path / 'text_with_image.txt'
     with open(lowercase_					,    'w'					,    encoding='utf-8'		) as f:
          f.write(lowercase_		)
     return str(lowercase_		)






@pytest.mark.parametrize('keep_linebreaks'					,    [True, False]		)
def 						_A					(lowerCAmelCase__	:int					,    lowerCAmelCase__	:Dict		) ->	List[str]:




     '''simple docstring'''



     with open(lowercase_					,    encoding='utf-8'		) as f:
          _a         =				f.read().splitlines(keepends=lowercase_		)
     _a         =				Text(keep_linebreaks=lowercase_					,    encoding='utf-8'		)
     _a         =				text._generate_tables([[text_file]]		)
     _a         =				pa.concat_tables([table for _, table in generator]		).to_pydict()['text']
     assert generated_content == expected_content






@require_pil
def 						_A					(lowerCAmelCase__	:Tuple		) ->	List[Any]:




     '''simple docstring'''



     with open(lowercase_					,    encoding='utf-8'		) as f:
          _a         =				f.read().splitlines()[0]
     _a         =				Text(encoding='utf-8'					,    features=Features({'image': Image()}		)		)
     _a         =				text._generate_tables([[text_file_with_image]]		)
     _a         =				pa.concat_tables([table for _, table in generator]		)
     assert pa_table.schema.field('image'		).type == Image()()
     _a         =				pa_table.to_pydict()['image']
     assert generated_content == [{"path": image_file, "bytes": None}]






@pytest.mark.parametrize('sample_by'					,    ['line', 'paragraph', 'document']		)
def 						_A					(lowerCAmelCase__	:Optional[int]					,    lowerCAmelCase__	:Tuple		) ->	Optional[Any]:




     '''simple docstring'''



     with open(lowercase_					,    encoding='utf-8'		) as f:
          _a         =				f.read()
     if sample_by == "line":
          _a         =				expected_content.splitlines()
     elif sample_by == "paragraph":
          _a         =				expected_content.split('\n\n'		)
     elif sample_by == "document":
          _a         =				[expected_content]
     _a         =				Text(sample_by=lowercase_					,    encoding='utf-8'					,    chunksize=1_00		)
     _a         =				text._generate_tables([[text_file]]		)
     _a         =				pa.concat_tables([table for _, table in generator]		).to_pydict()['text']
     assert generated_content == expected_content







"""simple docstring"""



from __future__ import annotations

import sys




class       UpperCAmelCase_    :




    def __init__(       self		:			Union[str, Any]      ,					snake_case_		:			str      ,					snake_case_		:			int ) ->				int:




     '''simple docstring'''

     A__			=							letter
     A__			=							freq
     A__			=							{}




    def __repr__(       self		:			Union[str, Any] ) ->				str:




     '''simple docstring'''

     return F"""{self.letter}:{self.freq}"""






class       UpperCAmelCase_    :




    def __init__(       self		:			Dict      ,					snake_case_		:			int      ,					snake_case_		:			Letter | TreeNode      ,					snake_case_		:			Letter | TreeNode ) ->				Optional[Any]:




     '''simple docstring'''

     A__			=							freq
     A__			=							left
     A__			=							right







def     _SCREAMING_SNAKE_CASE  (				lowercase_		)		->						list[Letter]:
 A__			=							{}
 with open(lowercase_		) as f:
  while True:
   A__			=							f.read(1		)
   if not c:
    break
   A__			=							chars[c] + 1 if c in chars else 1
 return sorted((Letter(lowercase_     ,					lowercase_		) for c, f in chars.items())     ,					key=lambda lowercase_		: x.freq		)







def     _SCREAMING_SNAKE_CASE  (				lowercase_		)		->						Letter | TreeNode:
 A__			=							letters  # type: ignore
 while len(lowercase_		) > 1:
  A__			=							response.pop(0		)
  A__			=							response.pop(0		)
  A__			=							left.freq + right.freq
  A__			=							TreeNode(lowercase_     ,					lowercase_     ,					lowercase_		)
  response.append(lowercase_		)
  response.sort(key=lambda lowercase_		: x.freq		)
 return response[0]







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_		)		->						list[Letter]:
 if isinstance(lowercase_     ,					lowercase_		):
  A__			=							bitstring
  return [root]
 A__			=							root  # type: ignore
 A__			=							[]
 letters += traverse_tree(treenode.left     ,					bitstring + "0"		)
 letters += traverse_tree(treenode.right     ,					bitstring + "1"		)
 return letters







def     _SCREAMING_SNAKE_CASE  (				lowercase_		)		->						None:
 A__			=							parse_file(lowercase_		)
 A__			=							build_tree(lowercase_		)
 A__			=							{
     k: v for letter in traverse_tree(lowercase_     ,					""		) for k, v in letter.bitstring.items()
 }
 print(f"""Huffman Coding  of {file_path}: """		)
 with open(lowercase_		) as f:
  while True:
   A__			=							f.read(1		)
   if not c:
    break
   print(letters[c]     ,					end=" "		)
 print()


if __name__ == "__main__":
      # pass the file path to the huffman function
      huffman(sys.argv[1])





