




'''simple docstring'''





import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
  from PIL import Image

  from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast




@require_vision
class      UpperCamelCase       (	unittest.TestCase       ):



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Optional[Any]							       =      tempfile.mkdtemp()

      _a				:							Any							       =      CLIPImageProcessor()
      _a				:							Any							       =      BertTokenizer.from_pretrained(
          """hf-internal-testing/tiny-random-BertModel"""		,     model_input_names=["""input_ids""", """attention_mask"""] )

      _a				:							Optional[int]							       =      GitProcessor(__lowerCAmelCase		,     __lowerCAmelCase )

      processor.save_pretrained(self.tmpdirname )



  def     a_							(			self		,     **__lowerCAmelCase ):







      '''simple docstring'''


      return AutoProcessor.from_pretrained(self.tmpdirname		,     **__lowerCAmelCase ).tokenizer



  def     a_							(			self		,     **__lowerCAmelCase ):







      '''simple docstring'''


      return AutoProcessor.from_pretrained(self.tmpdirname		,     **__lowerCAmelCase ).image_processor



  def     a_							(			self ):







      '''simple docstring'''


      shutil.rmtree(self.tmpdirname )



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Dict							       =      [np.random.randint(255		,     size=(3, 30, 400)		,     dtype=np.uinta )]

      _a				:							Union[str, Any]							       =      [Image.fromarray(np.moveaxis(__lowerCAmelCase		,     0		,     -1 ) ) for x in image_inputs]

      return image_inputs



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Any							       =      GitProcessor(tokenizer=self.get_tokenizer()		,     image_processor=self.get_image_processor() )
      processor.save_pretrained(self.tmpdirname )

      _a				:							Optional[int]							       =      self.get_tokenizer(bos_token="""(BOS)"""		,     eos_token="""(EOS)""" )
      _a				:							Dict							       =      self.get_image_processor(do_normalize=__lowerCAmelCase		,     padding_value=1.0 )

      _a				:							Dict							       =      GitProcessor.from_pretrained(
          self.tmpdirname		,     bos_token="""(BOS)"""		,     eos_token="""(EOS)"""		,     do_normalize=__lowerCAmelCase		,     padding_value=1.0 )

      self.assertEqual(processor.tokenizer.get_vocab()		,     tokenizer_add_kwargs.get_vocab() )
      self.assertIsInstance(processor.tokenizer		,     __lowerCAmelCase )

      self.assertEqual(processor.image_processor.to_json_string()		,     image_processor_add_kwargs.to_json_string() )
      self.assertIsInstance(processor.image_processor		,     __lowerCAmelCase )



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Any							       =      self.get_image_processor()
      _a				:							Tuple							       =      self.get_tokenizer()

      _a				:							int							       =      GitProcessor(tokenizer=__lowerCAmelCase		,     image_processor=__lowerCAmelCase )

      _a				:							Optional[Any]							       =      self.prepare_image_inputs()

      _a				:							List[str]							       =      image_processor(__lowerCAmelCase		,     return_tensors="""np""" )
      _a				:							Any							       =      processor(images=__lowerCAmelCase		,     return_tensors="""np""" )

      for key in input_feat_extract.keys():
          self.assertAlmostEqual(input_feat_extract[key].sum()		,     input_processor[key].sum()		,     delta=1e-2 )



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Optional[int]							       =      self.get_image_processor()
      _a				:							str							       =      self.get_tokenizer()

      _a				:							List[Any]							       =      GitProcessor(tokenizer=__lowerCAmelCase		,     image_processor=__lowerCAmelCase )

      _a				:							Optional[Any]							       =      """lower newer"""

      _a				:							str							       =      processor(text=__lowerCAmelCase )

      _a				:							List[str]							       =      tokenizer(__lowerCAmelCase		,     return_token_type_ids=__lowerCAmelCase )

      for key in encoded_tok.keys():
          self.assertListEqual(encoded_tok[key]		,     encoded_processor[key] )



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Optional[Any]							       =      self.get_image_processor()
      _a				:							Union[str, Any]							       =      self.get_tokenizer()

      _a				:							List[Any]							       =      GitProcessor(tokenizer=__lowerCAmelCase		,     image_processor=__lowerCAmelCase )

      _a				:							Optional[int]							       =      """lower newer"""
      _a				:							List[Any]							       =      self.prepare_image_inputs()

      _a				:							Any							       =      processor(text=__lowerCAmelCase		,     images=__lowerCAmelCase )

      self.assertListEqual(list(inputs.keys() )		,     ["""input_ids""", """attention_mask""", """pixel_values"""] )

      # test if it raises when no input is passed
      with pytest.raises(__lowerCAmelCase ):
          processor()



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							str							       =      self.get_image_processor()
      _a				:							Optional[Any]							       =      self.get_tokenizer()

      _a				:							Dict							       =      GitProcessor(tokenizer=__lowerCAmelCase		,     image_processor=__lowerCAmelCase )

      _a				:							int							       =      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

      _a				:							Union[str, Any]							       =      processor.batch_decode(__lowerCAmelCase )
      _a				:							Optional[Any]							       =      tokenizer.batch_decode(__lowerCAmelCase )

      self.assertListEqual(__lowerCAmelCase		,     __lowerCAmelCase )



  def     a_							(			self ):







      '''simple docstring'''


      _a				:							Optional[Any]							       =      self.get_image_processor()
      _a				:							Union[str, Any]							       =      self.get_tokenizer()

      _a				:							str							       =      GitProcessor(tokenizer=__lowerCAmelCase		,     image_processor=__lowerCAmelCase )

      _a				:							Any							       =      """lower newer"""
      _a				:							int							       =      self.prepare_image_inputs()

      _a				:							int							       =      processor(text=__lowerCAmelCase		,     images=__lowerCAmelCase )

      # For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
      self.assertListEqual(list(inputs.keys() )		,     ["""input_ids""", """attention_mask""", """pixel_values"""] )








'''simple docstring'''





from __future__ import annotations

import sys




class      UpperCamelCase       :



  def __init__(			self		,     __lowerCAmelCase		,     __lowerCAmelCase ):







      '''simple docstring'''


      _a				:							str							       =      letter
      _a				:							int							       =      freq
      _a				:							dict[str, str]							       =      {}



  def __repr__(			self ):







      '''simple docstring'''


      return f'''{self.letter}:{self.freq}'''






class      UpperCamelCase       :



  def __init__(			self		,     __lowerCAmelCase		,     __lowerCAmelCase		,     __lowerCAmelCase ):







      '''simple docstring'''


      _a				:							int							       =      freq
      _a				:							Letter | TreeNode							       =      left
      _a				:							Letter | TreeNode							       =      right






def UpperCAmelCase    (       UpperCAmelCase_						):
    _a				:							dict[str, int]							       =      {}
    with open(UpperCAmelCase_						) as f:
        while True:
            _a				:							Any							       =      f.read(1						)
            if not c:
                break
            _a				:							Optional[Any]							       =      chars[c] + 1 if c in chars else 1
    return sorted((Letter(UpperCAmelCase_   ,	UpperCAmelCase_						) for c, f in chars.items())   ,	key=lambda UpperCAmelCase_						: x.freq						)





def UpperCAmelCase    (       UpperCAmelCase_						):
    _a				:							list[Letter | TreeNode]							       =      letters  # type: ignore
    while len(UpperCAmelCase_						) > 1:
        _a				:							List[Any]							       =      response.pop(0						)
        _a				:							List[str]							       =      response.pop(0						)
        _a				:							Dict							       =      left.freq + right.freq
        _a				:							Any							       =      TreeNode(UpperCAmelCase_   ,	UpperCAmelCase_   ,	UpperCAmelCase_						)
        response.append(UpperCAmelCase_						)
        response.sort(key=lambda UpperCAmelCase_						: x.freq						)
    return response[0]





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_						):
    if isinstance(UpperCAmelCase_   ,	UpperCAmelCase_						):
        _a				:							int							       =      bitstring
        return [root]
    _a				:							TreeNode							       =      root  # type: ignore
    _a				:							Optional[Any]							       =      []
    letters += traverse_tree(treenode.left   ,	bitstring + """0"""						)
    letters += traverse_tree(treenode.right   ,	bitstring + """1"""						)
    return letters





def UpperCAmelCase    (       UpperCAmelCase_						):
    _a				:							Optional[Any]							       =      parse_file(UpperCAmelCase_						)
    _a				:							Tuple							       =      build_tree(UpperCAmelCase_						)
    _a				:							Union[str, Any]							       =      {
        k: v for letter in traverse_tree(UpperCAmelCase_   ,	""""""						) for k, v in letter.bitstring.items()
    }
    print(F'''Huffman Coding  of {file_path}: '''						)
    with open(UpperCAmelCase_						) as f:
        while True:
            _a				:							Any							       =      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])


