
'''simple docstring'''






import json
import logging
import os
import sys
from time import time
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, require_torch_tpu


logging.basicConfig(level=logging.DEBUG)

A			      =      logging.getLogger()





def    UpperCAmelCase							(  UpperCAmelCase__							:							int):
				lowerCamelCase					:			int									= {}
				lowerCamelCase					:			int									= os.path.join(UpperCAmelCase__       ,							'all_results.json')
				if os.path.exists(UpperCAmelCase__):
								with open(UpperCAmelCase__       ,							'r') as f:
												lowerCamelCase					:			Any									= json.load(UpperCAmelCase__)
				else:
								raise ValueError(F'''can\'t find {path}''')
				return results


A			      =      logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)




@require_torch_tpu
class     __snake_case		(   a__):
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									import xla_spawn

									lowerCamelCase					:			Any									= self.get_auto_remove_tmp_dir()
									lowerCamelCase					:			int									= F'''
            ./examples/pytorch/text-classification/run_glue.py
            --num_cores=8
            ./examples/pytorch/text-classification/run_glue.py
            --model_name_or_path distilbert-base-uncased
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv
            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv
            --do_train
            --do_eval
            --debug tpu_metrics_debug
            --per_device_train_batch_size=2
            --per_device_eval_batch_size=1
            --learning_rate=1e-4
            --max_steps=10
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            '''.split()

									with patch.object(A,    'argv',    A      ):
													lowerCamelCase					:			Any									= time()
													xla_spawn.main()
													lowerCamelCase					:			Union[str, Any]									= time()

													lowerCamelCase					:			str									= get_results(A      )
													self.assertGreaterEqual(result['eval_accuracy'],    0.75      )

													# Assert that the script takes less than 500 seconds to make sure it doesn't hang.
													self.assertLess(end - start,    500      )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									import xla_spawn

									lowerCamelCase					:			Optional[int]									= '\n            ./tests/test_trainer_tpu.py\n            --num_cores=8\n            ./tests/test_trainer_tpu.py\n            '.split()
									with patch.object(A,    'argv',    A      ):
													xla_spawn.main()


'''simple docstring'''






from __future__ import annotations

A			      =      '#'




class     __snake_case		:
					def __init__(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			dict									= {}
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= self._trie
									for char in text:
													if char not in trie:
																	lowerCamelCase					:			Dict									= {}
													lowerCamelCase					:			Optional[int]									= trie[char]
									lowerCamelCase					:			Optional[Any]									= True
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= self._trie
									for char in prefix:
													if char in trie:
																	lowerCamelCase					:			int									= trie[char]
													else:
																	return []
									return self._elements(A      )




					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= []
									for c, v in d.items():
													lowerCamelCase					:			Optional[Any]									= [' '] if c == END else [(c + s) for s in self._elements(A      )]
													result.extend(A      )
									return tuple(A      )





A			      =      Trie()
A			      =      ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
					trie.insert_word(word)





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Any									= trie.find_word(UpperCAmelCase__)
				return tuple(string + word for word in suffixes)





def    UpperCAmelCase							(  ):
				print(autocomplete_using_trie('de'))


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()
