



import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_snake_case	=						"▁"

_snake_case	=						get_tests_dir("fixtures/test_sentencepiece.model")



@require_sentencepiece
@require_tokenizers
class 						UpperCAmelCase_					( a     ,      unittest.TestCase):
							lowerCamelCase__         =	BigBirdTokenizer
							lowerCamelCase__         =	BigBirdTokenizerFast
							lowerCamelCase__         =	True
							lowerCamelCase__         =	True







							def      snake_case__   (     self):

														'''simple docstring'''

														super().setUp()

														_lowerCAmelCase  :							List[str]				     =					self.tokenizer_class(__a,    keep_accents=__a)
														tokenizer.save_pretrained(self.tmpdirname)







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							List[Any]				     =					"<s>"
														_lowerCAmelCase  :							Union[str, Any]				     =					1

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







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Tuple				     =					list(self.get_tokenizer().get_vocab().keys())

														self.assertEqual(vocab_keys[0],    "<unk>")
														self.assertEqual(vocab_keys[1],    "<s>")
														self.assertEqual(vocab_keys[-1],    "[MASK]")
														self.assertEqual(len(__a),    1004)







							def      snake_case__   (     self):

														'''simple docstring'''

														self.assertEqual(self.get_tokenizer().vocab_size,    1000)







							def      snake_case__   (     self):

														'''simple docstring'''

														if not self.test_rust_tokenizer:
																					return

														_lowerCAmelCase  :							List[str]				     =					self.get_tokenizer()
														_lowerCAmelCase  :							Tuple				     =					self.get_rust_tokenizer()

														_lowerCAmelCase  :							List[Any]				     =					"I was born in 92000, and this is falsé."

														_lowerCAmelCase  :							Optional[int]				     =					tokenizer.tokenize(__a)
														_lowerCAmelCase  :							Any				     =					rust_tokenizer.tokenize(__a)
														self.assertListEqual(__a,    __a)

														_lowerCAmelCase  :							int				     =					tokenizer.encode(__a,    add_special_tokens=__a)
														_lowerCAmelCase  :							Dict				     =					rust_tokenizer.encode(__a,    add_special_tokens=__a)
														self.assertListEqual(__a,    __a)

														_lowerCAmelCase  :							str				     =					self.get_rust_tokenizer()
														_lowerCAmelCase  :							List[Any]				     =					tokenizer.encode(__a)
														_lowerCAmelCase  :							Any				     =					rust_tokenizer.encode(__a)
														self.assertListEqual(__a,    __a)







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					BigBirdTokenizer(__a,    keep_accents=__a)

														_lowerCAmelCase  :							List[Any]				     =					tokenizer.tokenize("This is a test")
														self.assertListEqual(__a,    ["▁This", "▁is", "▁a", "▁t", "est"])

														self.assertListEqual(
														    tokenizer.convert_tokens_to_ids(__a),    [285, 46, 10, 170, 382],    )

														_lowerCAmelCase  :							int				     =					tokenizer.tokenize("I was born in 92000, and this is falsé.")
														self.assertListEqual(
														    __a,    [
														        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  :							Dict				     =					tokenizer.convert_tokens_to_ids(__a)
														self.assertListEqual(
														    __a,    [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4],    )

														_lowerCAmelCase  :							List[Any]				     =					tokenizer.convert_ids_to_tokens(__a)
														self.assertListEqual(
														    __a,    [
														        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      snake_case__   (     self):

														'''simple docstring'''

														return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base")







							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Any				     =					"Hello World!"
														_lowerCAmelCase  :							Any				     =					[65, 1_8536, 2260, 101, 66]

														self.assertListEqual(__a,    self.big_tokenizer.encode(__a))







							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Union[str, Any]				     =					(
														    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
														    " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
														)
														# fmt: off
														_lowerCAmelCase  :							Optional[Any]				     =					[65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 3_4324, 497, 391, 408, 1_1342, 1244, 385, 100, 938, 985, 456, 574, 362, 1_2597, 3200, 3129, 1172, 66]  # noqa: E231
														# fmt: on
														self.assertListEqual(__a,    self.big_tokenizer.encode(__a))







							@require_torch
							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														import torch

														from transformers import BigBirdConfig, BigBirdModel

														# Build sequence
														_lowerCAmelCase  :							Any				     =					list(self.big_tokenizer.get_vocab().keys())[:10]
														_lowerCAmelCase  :							str				     =					" ".join(__a)
														_lowerCAmelCase  :							int				     =					self.big_tokenizer.encode_plus(__a,    return_tensors="pt",    return_token_type_ids=__a)
														_lowerCAmelCase  :							List[Any]				     =					self.big_tokenizer.batch_encode_plus(
														    [sequence + " " + sequence],    return_tensors="pt",    return_token_type_ids=__a)

														_lowerCAmelCase  :							Tuple				     =					BigBirdConfig(attention_type="original_full")
														_lowerCAmelCase  :							List[Any]				     =					BigBirdModel(__a)

														assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

														with torch.no_grad():
																					model(**__a)
																					model(**__a)







							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Tuple				     =					BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base")
														_lowerCAmelCase  :							Tuple				     =					tokenizer.decode(tokenizer("Paris is the [MASK].").input_ids)

														self.assertTrue(decoded_text == "[CLS] Paris is the[MASK].[SEP]")







							@slow
							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							List[Any]				     =					{"input_ids": [[65, 3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114, 66], [65, 448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 66, 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], [65, 484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 66, 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, 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, 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=__a,    model_name="google/bigbird-roberta-base",    revision="215c99f1600e06f83acce68422f2035b2b5c3510",    )





def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							_lowerCAmelCase  :							int				     =					len(_lowerCamelCase						)
							for i in range(1       ,				_lowerCamelCase						):
														_lowerCAmelCase  :							List[Any]				     =					collection[i]
														_lowerCAmelCase  :							str				     =					0
														_lowerCAmelCase  :							Union[str, Any]				     =					i - 1

														while low <= high:
																					_lowerCAmelCase  :							List[str]				     =					(low + high) // 2
																					if val < collection[mid]:
																												_lowerCAmelCase  :							Optional[int]				     =					mid - 1
																					else:
																												_lowerCAmelCase  :							List[str]				     =					mid + 1
														for j in range(_lowerCamelCase       ,				_lowerCamelCase       ,				-1						):
																					_lowerCAmelCase  :							int				     =					collection[j - 1]
														_lowerCAmelCase  :							Optional[int]				     =					val
							return collection


if __name__ == "__main__":
						_snake_case	=						input("Enter numbers separated by a comma:\n").strip()
						_snake_case	=						[int(item) for item in user_input.split(",")]
						print(binary_insertion_sort(unsorted))
