


"""simple docstring"""






from __future__ import annotations

import sys


class 			SCREAMING_SNAKE_CASE_  :




							'''simple docstring'''





							def __init__(						self	,					lowerCamelCase__	,					lowerCamelCase__)   ->	Optional[int]:







								'''simple docstring'''




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







							def __repr__(						self)   ->	str:







								'''simple docstring'''




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


class 			SCREAMING_SNAKE_CASE_  :




							'''simple docstring'''





							def __init__(						self	,					lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__)   ->	List[str]:







								'''simple docstring'''




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



def 			A__		(					_UpperCAmelCase    :      str	)							->	list[Letter]:

	'''simple docstring'''


	snake_case__  :						dict[str, int]		=      {}
	with open(_UpperCAmelCase	) as f:
		while True:
			snake_case__  :						List[str]		=      f.read(1	)
			if not c:
				break
			snake_case__  :						Union[str, 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 			A__		(					_UpperCAmelCase    :      list[Letter]	)							->	Letter | TreeNode:

	'''simple docstring'''


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



def 			A__		(					_UpperCAmelCase    :      Letter | TreeNode				,    _UpperCAmelCase    :      str	)							->	list[Letter]:

	'''simple docstring'''


	if isinstance(_UpperCAmelCase				,    _UpperCAmelCase	):
		snake_case__  :						Any		=      bitstring
		return [root]
	snake_case__  :						TreeNode		=      root  # type: ignore
	snake_case__  :						List[Any]		=      []
	letters += traverse_tree(treenode.left				,    bitstring + "0"	)
	letters += traverse_tree(treenode.right				,    bitstring + "1"	)
	return letters



def 			A__		(					_UpperCAmelCase    :      str	)							->	None:

	'''simple docstring'''


	snake_case__  :						Dict		=      parse_file(_UpperCAmelCase	)
	snake_case__  :						List[Any]		=      build_tree(_UpperCAmelCase	)
	snake_case__  :						List[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:
			snake_case__  :						Optional[int]		=      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])









"""simple docstring"""






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


lowercase  		=			"""Here is a text containing a lot of information: '''{text}'''.

Can you answer this question about the text: '{question}'"""


class 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     List[Any]				  =  '''google/flan-t5-base'''
							__magic_name__					:     Dict				  =  (
							    '''This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the '''
							    '''text where to find the answer, and `question`, which is the question, and returns the answer to the question.'''
							)
							__magic_name__					:     Union[str, Any]				  =  '''text_qa'''
							__magic_name__					:     Union[str, Any]				  =  AutoTokenizer
							__magic_name__					:     List[Any]				  =  AutoModelForSeqaSeqLM

							__magic_name__					:     Tuple				  =  ['''text''', '''text''']
							__magic_name__					:     Tuple				  =  ['''text''']




							def        UpperCAmelCase (						self	,					lowerCamelCase__	,					lowerCamelCase__)   ->	Optional[int]:







								'''simple docstring'''




								snake_case__  :						str		=      QA_PROMPT.format(text=lowerCamelCase__	,					question=lowerCamelCase__)
								return self.pre_processor(lowerCamelCase__	,					return_tensors="pt")




							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	Optional[int]:







								'''simple docstring'''




								snake_case__  :						Tuple		=      self.model.generate(**lowerCamelCase__)

								snake_case__,					snake_case__  :						Dict		=      inputs["input_ids"].shape
								snake_case__  :						List[Any]		=      output_ids.shape[0]

								return output_ids.reshape(lowerCamelCase__	,					out_b // in_b	,					*output_ids.shape[1:])[0][0]







							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	List[Any]:







								'''simple docstring'''




								return self.pre_processor.decode(lowerCamelCase__	,					skip_special_tokens=lowerCamelCase__	,					clean_up_tokenization_spaces=lowerCamelCase__)





