



import random
import unittest

import torch

from diffusers import IFImgaImgPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_VARIATION_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin







@skip_mps
class 				a_    (						_snake_case   ,					_snake_case   ,					unittest.TestCase							):
						UpperCamelCase__ :		Union[str, Any]										=IFImgaImgPipeline
						UpperCamelCase__ :		List[str]										=TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {"width", "height"}
						UpperCamelCase__ :		str										=TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
						UpperCamelCase__ :		Optional[Any]										=PipelineTesterMixin.required_optional_params - {"latents"}

						def       __a			(       self      :Dict)						->   Optional[Any]:
												return self._get_dummy_components()

						def       __a			(       self      :Any  ,		_lowercase      :Optional[Any]  ,		_lowercase      :List[Any]=0)						->   str:
												if str(_lowercase).startswith('''mps'''):
																		UpperCAmelCase_					=	torch.manual_seed(_lowercase)
												else:
																		UpperCAmelCase_					=	torch.Generator(device=_lowercase).manual_seed(_lowercase)

												UpperCAmelCase_					=	floats_tensor((1, 3, 32, 32)  ,		rng=random.Random(_lowercase)).to(_lowercase)

												UpperCAmelCase_					=	{
												    '''prompt''': '''A painting of a squirrel eating a burger''',
												    '''image''': image,
												    '''generator''': generator,
												    '''num_inference_steps''': 2,
												    '''output_type''': '''numpy''',
												}

												return inputs

						def       __a			(       self      :List[str])						->   Dict:
												self._test_save_load_optional_components()

						@unittest.skipIf(
						    torch_device != '''cuda''' or not is_xformers_available()  ,		reason='''XFormers attention is only available with CUDA and `xformers` installed'''  ,		)
						def       __a			(       self      :Any)						->   int:
												self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3)

						@unittest.skipIf(torch_device != '''cuda'''  ,		reason='''float16 requires CUDA''')
						def       __a			(       self      :Optional[int])						->   Optional[Any]:
												# Due to non-determinism in save load of the hf-internal-testing/tiny-random-t5 text encoder
												super().test_save_load_floataa(expected_max_diff=1E-1)

						@unittest.skipIf(torch_device != '''cuda'''  ,		reason='''float16 requires CUDA''')
						def       __a			(       self      :Tuple)						->   Any:
												super().test_floataa_inference(expected_max_diff=1E-1)

						def       __a			(       self      :Dict)						->   List[str]:
												self._test_attention_slicing_forward_pass(expected_max_diff=1E-2)

						def       __a			(       self      :Union[str, Any])						->   Tuple:
												self._test_save_load_local()




						def       __a			(       self      :Tuple)						->   Union[str, Any]:
												self._test_inference_batch_single_identical(
												    expected_max_diff=1E-2  ,		)










from __future__ import annotations

import sys







class 				a_    :

						def __init__(       self      :Dict  ,		_lowercase      :str  ,		_lowercase      :int)						->   List[Any]:
												UpperCAmelCase_					=	letter
												UpperCAmelCase_					=	freq
												UpperCAmelCase_					=	{}




						def __repr__(       self      :str)						->   str:
												return f"{self.letter}:{self.freq}"







class 				a_    :

						def __init__(       self      :List[Any]  ,		_lowercase      :int  ,		_lowercase      :Letter | TreeNode  ,		_lowercase      :Letter | TreeNode)						->   Dict:
												UpperCAmelCase_					=	freq
												UpperCAmelCase_					=	left
												UpperCAmelCase_					=	right







def 							A     (						__UpperCAmelCase      )			->			list[Letter]:



						'''simple docstring'''






						UpperCAmelCase_					=	{}
						with open(__UpperCAmelCase      ) as f:
												while True:
																		UpperCAmelCase_					=	f.read(1      )
																		if not c:
																								break
																		UpperCAmelCase_					=	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      )			->			Letter | TreeNode:



						'''simple docstring'''






						UpperCAmelCase_					=	letters  # type: ignore
						while len(__UpperCAmelCase      ) > 1:
												UpperCAmelCase_					=	response.pop(0      )
												UpperCAmelCase_					=	response.pop(0      )
												UpperCAmelCase_					=	left.freq + right.freq
												UpperCAmelCase_					=	TreeNode(__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase      )
												response.append(__UpperCAmelCase      )
												response.sort(key=lambda __UpperCAmelCase      : x.freq      )
						return response[0]







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			list[Letter]:



						'''simple docstring'''






						if isinstance(__UpperCAmelCase				,   __UpperCAmelCase      ):
												UpperCAmelCase_					=	bitstring
												return [root]
						UpperCAmelCase_					=	root  # type: ignore
						UpperCAmelCase_					=	[]
						letters += traverse_tree(treenode.left				,   bitstring + '''0'''      )
						letters += traverse_tree(treenode.right				,   bitstring + '''1'''      )
						return letters







def 							A     (						__UpperCAmelCase      )			->			None:



						'''simple docstring'''






						UpperCAmelCase_					=	parse_file(__UpperCAmelCase      )
						UpperCAmelCase_					=	build_tree(__UpperCAmelCase      )
						UpperCAmelCase_					=	{
						    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:
																		UpperCAmelCase_					=	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])





