



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)

UpperCAmelCase__     = logging.getLogger()





def 							A			(  _UpperCAmelCase       :     Dict					)       ->				Any:







			'''simple docstring'''
			_UpperCAmelCase	 =     {}
			_UpperCAmelCase	 =     os.path.join(_UpperCAmelCase							,     'all_results.json'					)
			if os.path.exists(_UpperCAmelCase					):
						with open(_UpperCAmelCase							,     'r'					) as f:
									_UpperCAmelCase	 =     json.load(_UpperCAmelCase					)
			else:
						raise ValueError(F"can't find {path}"					)
			return results


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







@require_torch_tpu
class     __lowerCAmelCase					(    A		):



			def 					_lowerCamelCase (		self     :						Optional[int])     ->					Tuple:



						"""simple docstring"""






						import xla_spawn

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

						with patch.object(A				,	'argv'				,	A):
									_UpperCAmelCase	 =     time()
									xla_spawn.main()
									_UpperCAmelCase	 =     time()

									_UpperCAmelCase	 =     get_results(A)
									self.assertGreaterEqual(result['eval_accuracy']				,	0.7_5)

									# Assert that the script takes less than 500 seconds to make sure it doesn't hang.
									self.assertLess(end - start				,	5_00)



			def 					_lowerCamelCase (		self     :						str)     ->					List[str]:



						"""simple docstring"""






						import xla_spawn

						_UpperCAmelCase	 =     '\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()





from collections import Counter
from timeit import timeit





def 							A			(  _UpperCAmelCase       :     str = ""							,     )       ->				bool:







			'''simple docstring'''
			return sum(c % 2 for c in Counter(input_str.replace(' '							,     ''					).lower()					).values()					) < 2





def 							A			(  _UpperCAmelCase       :     str = ""					)       ->				bool:







			'''simple docstring'''
			if len(_UpperCAmelCase					) == 0:
						return True
			_UpperCAmelCase	 =     input_str.replace(' '							,     ''					).lower()
			# character_freq_dict: Stores the frequency of every character in the input string
			_UpperCAmelCase	 =     {}

			for character in lower_case_input_str:
						_UpperCAmelCase	 =     character_freq_dict.get(_UpperCAmelCase							,     0					) + 1
			_UpperCAmelCase	 =     0

			for character_count in character_freq_dict.values():
						if character_count % 2:
									odd_char += 1
			if odd_char > 1:
						return False
			return True





def 							A			(  _UpperCAmelCase       :     str = ""					)       ->				None:







			'''simple docstring'''
			print('\nFor string = '							,     _UpperCAmelCase							,     ':'					)
			print(
			    '> can_string_be_rearranged_as_palindrome_counter()'							,     '\tans ='							,     can_string_be_rearranged_as_palindrome_counter(_UpperCAmelCase					)							,     '\ttime ='							,     timeit(
			        'z.can_string_be_rearranged_as_palindrome_counter(z.check_str)'							,     setup='import __main__ as z'							,     )							,     'seconds'							,     )
			print(
			    '> can_string_be_rearranged_as_palindrome()'							,     '\tans ='							,     can_string_be_rearranged_as_palindrome(_UpperCAmelCase					)							,     '\ttime ='							,     timeit(
			        'z.can_string_be_rearranged_as_palindrome(z.check_str)'							,     setup='import __main__ as z'							,     )							,     'seconds'							,     )


if __name__ == "__main__":
							UpperCAmelCase__     = input(
							    "Enter string to determine if it can be rearranged as a palindrome or not: "
							).strip()
							benchmark(check_str)
							UpperCAmelCase__     = can_string_be_rearranged_as_palindrome_counter(check_str)
							print(f"""{check_str} can {"" if status else "not "}be rearranged as a palindrome""")
