



"""simple docstring"""
import unittest
from dataclasses import dataclass
from typing import List, Union

import numpy as np
import PIL.Image

from diffusers.utils.outputs import BaseOutput
@dataclass
class 							lowerCamelCase    (     _lowerCAmelCase							):






					'''simple docstring'''





					_A						:     Union[List[PIL.Image.Image], np.ndarray]

class 							lowerCamelCase    (     unittest.TestCase							):






					'''simple docstring'''





					def   lowerCAmelCase_							(			self:				Any		)  ->      Optional[Any]:
											snake_case_					:int		=     CustomOutput(images=np.random.rand(1		,	3		,	4		,	4		)		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	np.ndarray		)
											assert outputs.images.shape == (1, 3, 4, 4)
											assert isinstance(outputs["""images"""]		,	np.ndarray		)
											assert outputs["images"].shape == (1, 3, 4, 4)
											assert isinstance(outputs[0]		,	np.ndarray		)
											assert outputs[0].shape == (1, 3, 4, 4)

											# test with a non-tensor attribute
											snake_case_					:Tuple		=     CustomOutput(images=[PIL.Image.new("""RGB"""		,	(4, 4)		)]		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	snake_case		)
											assert isinstance(outputs.images[0]		,	PIL.Image.Image		)
											assert isinstance(outputs["""images"""]		,	snake_case		)
											assert isinstance(outputs["""images"""][0]		,	PIL.Image.Image		)
											assert isinstance(outputs[0]		,	snake_case		)
											assert isinstance(outputs[0][0]		,	PIL.Image.Image		)






					def   lowerCAmelCase_							(			self:				str		)  ->      Union[str, Any]:
											# test output reinitialization with a `dict` for compatibility with `accelerate`
											snake_case_					:Tuple		=     CustomOutput({"""images""": np.random.rand(1		,	3		,	4		,	4		)}		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	np.ndarray		)
											assert outputs.images.shape == (1, 3, 4, 4)
											assert isinstance(outputs["""images"""]		,	np.ndarray		)
											assert outputs["images"].shape == (1, 3, 4, 4)
											assert isinstance(outputs[0]		,	np.ndarray		)
											assert outputs[0].shape == (1, 3, 4, 4)

											# test with a non-tensor attribute
											snake_case_					:str		=     CustomOutput({"""images""": [PIL.Image.new("""RGB"""		,	(4, 4)		)]}		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	snake_case		)
											assert isinstance(outputs.images[0]		,	PIL.Image.Image		)
											assert isinstance(outputs["""images"""]		,	snake_case		)
											assert isinstance(outputs["""images"""][0]		,	PIL.Image.Image		)
											assert isinstance(outputs[0]		,	snake_case		)
											assert isinstance(outputs[0][0]		,	PIL.Image.Image		)




'''simple docstring'''


import io
import json
import subprocess


lowerCamelCase__     						=  [
    ['en', 'ru'],
    ['ru', 'en'],
    ['en', 'de'],
    ['de', 'en'],
]

lowerCamelCase__     						=  8






def 			__lowerCAmelCase			(__lowerCAmelCase   ,			__lowerCAmelCase ):
		_UpperCAmelCase		:							List[str]             =   {}
		for src, tgt in pairs:
				_UpperCAmelCase		:							Tuple             =   F"""{src}-{tgt}"""
				_UpperCAmelCase		:							Tuple             =   F"""sacrebleu -t wmt19 -l {pair} --echo src""".split()
				_UpperCAmelCase		:							List[Any]             =   subprocess.run(__lowerCAmelCase   ,			stdout=subprocess.PIPE ).stdout.decode("utf-8" ).splitlines()
				_UpperCAmelCase		:							Tuple             =   F"""sacrebleu -t wmt19 -l {pair} --echo ref""".split()
				_UpperCAmelCase		:							List[str]             =   subprocess.run(__lowerCAmelCase   ,			stdout=subprocess.PIPE ).stdout.decode("utf-8" ).splitlines()
				_UpperCAmelCase		:							Tuple             =   {"src": src_lines[:n_objs], "tgt": tgt_lines[:n_objs]}
		return text


lowerCamelCase__     						=  get_all_data(pairs, n_objs)
lowerCamelCase__     						=  './fsmt_val_data.json'
with io.open(filename, 'w', encoding='utf-8') as f:
						lowerCamelCase__     						=  json.dump(text, f, indent=2, ensure_ascii=False)



