






"""simple docstring"""



import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A__       :				Optional[int] 					=					get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
class    lowercase__			(							snake_case__,   unittest.TestCase   ):
			_UpperCAmelCase		:Dict   			= XLMProphetNetTokenizer
			_UpperCAmelCase		:str   			= False
			_UpperCAmelCase		:Any   			= True


			def 	UpperCAmelCase__						(      self     :  Optional[int]					):
										super().setUp()

										# We have a SentencePiece fixture for testing
										lowerCamelCase_       :							str									=XLMProphetNetTokenizer(lowerCamelCase_   ,       keep_accents=lowerCamelCase_					)
										tokenizer.save_pretrained(self.tmpdirname					)


			def 	UpperCAmelCase__						(      self     :  Optional[Any]					):
										lowerCamelCase_       :							List[Any]									="[PAD]"
										lowerCamelCase_       :							Tuple									=0

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase_					)   ,       lowerCamelCase_					)
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase_					)   ,       lowerCamelCase_					)


			def 	UpperCAmelCase__						(      self     :  Tuple					):
										lowerCamelCase_       :							Tuple									=list(self.get_tokenizer().get_vocab().keys()					)

										self.assertEqual(vocab_keys[0]   ,       "[PAD]"					)
										self.assertEqual(vocab_keys[1]   ,       "[CLS]"					)
										self.assertEqual(vocab_keys[-1]   ,       "j"					)
										self.assertEqual(len(lowerCamelCase_					)   ,       1012					)


			def 	UpperCAmelCase__						(      self     :  str					):
										self.assertEqual(self.get_tokenizer().vocab_size   ,       1012					)


			def 	UpperCAmelCase__						(      self     :  str					):
										lowerCamelCase_       :							Any									=XLMProphetNetTokenizer(lowerCamelCase_   ,       keep_accents=lowerCamelCase_					)

										lowerCamelCase_       :							str									=tokenizer.tokenize("This is a test"					)
										self.assertListEqual(lowerCamelCase_   ,       ["▁This", "▁is", "▁a", "▁t", "est"]					)

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(lowerCamelCase_					)   ,       [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]   ,       )

										lowerCamelCase_       :							Union[str, Any]									=tokenizer.tokenize("I was born in 92000, and this is falsé."					)
										self.assertListEqual(
										    lowerCamelCase_   ,       [
										        SPIECE_UNDERLINE + "I",
										        SPIECE_UNDERLINE + "was",
										        SPIECE_UNDERLINE + "b",
										        "or",
										        "n",
										        SPIECE_UNDERLINE + "in",
										        SPIECE_UNDERLINE + "",
										        "9",
										        "2",
										        "0",
										        "0",
										        "0",
										        ",",
										        SPIECE_UNDERLINE + "and",
										        SPIECE_UNDERLINE + "this",
										        SPIECE_UNDERLINE + "is",
										        SPIECE_UNDERLINE + "f",
										        "al",
										        "s",
										        "é",
										        ".",
										    ]   ,       )
										lowerCamelCase_       :							str									=tokenizer.convert_tokens_to_ids(lowerCamelCase_					)
										self.assertListEqual(
										    lowerCamelCase_   ,       [
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
										    ]   ,       )

										lowerCamelCase_       :							Any									=tokenizer.convert_ids_to_tokens(lowerCamelCase_					)
										self.assertListEqual(
										    lowerCamelCase_   ,       [
										        SPIECE_UNDERLINE + "I",
										        SPIECE_UNDERLINE + "was",
										        SPIECE_UNDERLINE + "b",
										        "or",
										        "n",
										        SPIECE_UNDERLINE + "in",
										        SPIECE_UNDERLINE + "",
										        "[UNK]",
										        "2",
										        "0",
										        "0",
										        "0",
										        ",",
										        SPIECE_UNDERLINE + "and",
										        SPIECE_UNDERLINE + "this",
										        SPIECE_UNDERLINE + "is",
										        SPIECE_UNDERLINE + "f",
										        "al",
										        "s",
										        "[UNK]",
										        ".",
										    ]   ,       )


			@cached_property
			def 	UpperCAmelCase__						(      self     :  List[Any]					):
										return XLMProphetNetTokenizer.from_pretrained("microsoft/xprophetnet-large-wiki100-cased"					)


			@slow
			def 	UpperCAmelCase__						(      self     :  Tuple					):
										lowerCamelCase_       :							Union[str, Any]									="Hello World!"
										lowerCamelCase_       :							int									=[3_5389, 6672, 49, 2]
										self.assertListEqual(lowerCamelCase_   ,       self.big_tokenizer.encode(lowerCamelCase_					)					)


			@slow
			def 	UpperCAmelCase__						(      self     :  Union[str, Any]					):
										lowerCamelCase_       :							Optional[Any]									={"input_ids": [[1_1073, 8_2783, 18, 26, 8_2783, 549, 5_1540, 248, 1_7209, 1301, 217, 20, 21_5186, 1325, 147, 1_7209, 1301, 217, 20, 5_6370, 53, 12_2020, 20, 1_6477, 27, 8_7355, 4548, 20, 4728, 7_8392, 17, 15_9969, 18, 26, 2_4491, 629, 15, 538, 2_2704, 5439, 15, 2788, 2_4491, 9885, 15, 4_3534, 605, 15, 814, 1_8403, 3_3200, 29, 15, 4_3534, 2_4458, 1_2410, 111, 2_4966, 8_3669, 9637, 14_4068, 26, 850, 2_2346, 27, 147, 2_4966, 8_3669, 8_3490, 26, 3_9113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 12_2020, 11_5785, 34, 816, 1339, 4_6887, 18, 147, 5_3905, 1951, 4_2238, 4_1170, 1_7732, 834, 436, 15, 2_7523, 9_8733, 217, 147, 5542, 4981, 930, 1_7347, 16, 2], [2_0091, 629, 94, 8_2786, 58, 490, 20, 1528, 84, 5_3905, 344, 8_0592, 11_0128, 1_8822, 5267, 1306, 62, 15_2537, 308, 7997, 401, 12_4427, 549, 3_5442, 225, 109, 1_5055, 2_5748, 147, 7119, 4_3712, 34, 767, 13_5366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 6_3784, 11_9466, 17, 14_7808, 8_8214, 18, 656, 81, 32, 3296, 1_0280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=lowerCamelCase_   ,       model_name="microsoft/xprophetnet-large-wiki100-cased"   ,       revision="1acad1643ddd54a44df6a1b797ada8373685d90e"   ,       )








import random






def     a(      A       :    Optional[Any] ,     A       :    Optional[Any] ,     A       :    str       )		->       List[Any]:
					"""simple docstring"""





					a					     =   a[left_index]
					a					     =   left_index + 1
					for j in range(left_index + 1 ,     A       ):
										if a[j] < pivot:
															a     ,				a					     =   a[i], a[j]
															i += 1
					a     ,				a					     =   a[i - 1], a[left_index]
					return i - 1






def     a(      A       :    List[Any] ,     A       :    List[Any] ,     A       :    Union[str, Any]       )		->       List[Any]:
					"""simple docstring"""





					if left < right:
										a					     =   random.randint(A ,     right - 1       )
										a     ,				a					     =   (
										    a[left],
										    a[pivot],
										)  # switches the pivot with the left most bound
										a					     =   partition(A ,     A ,     A       )
										quick_sort_random(
										    A ,     A ,     A       )  # recursive quicksort to the left of the pivot point
										quick_sort_random(
										    A ,     pivot_index + 1 ,     A       )  # recursive quicksort to the right of the pivot point






def     a(      )		->       Any:
					"""simple docstring"""





					a					     =   input("Enter numbers separated by a comma:\n"       ).strip()
					a					     =   [int(A       ) for item in user_input.split(","       )]

					quick_sort_random(A ,     0 ,     len(A       )       )

					print(A       )


if __name__ == "__main__":
				main()
