import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__SCREAMING_SNAKE_CASE						:   List[str]         =			get_tests_dir('fixtures/test_sentencepiece.model')



@require_sentencepiece
@require_tokenizers
class        lowercase_   (					__A						,			unittest.TestCase		):
       _lowerCamelCase						=		XLMRobertaTokenizer
       _lowerCamelCase						=		XLMRobertaTokenizerFast
       _lowerCamelCase						=		True
       _lowerCamelCase						=		True



       def 	UpperCamelCase	(						self    ):
             super().setUp()

             # We have a SentencePiece fixture for testing
             _snake_case						:					Dict    =   XLMRobertaTokenizer(__lowercase				,    keep_accents=__lowercase    )
             tokenizer.save_pretrained(self.tmpdirname    )



       def 	UpperCamelCase	(						self    ):
             _snake_case						:					Any    =   "<pad>"
             _snake_case						:					int    =   1

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



       def 	UpperCamelCase	(						self    ):
             _snake_case						:					List[Any]    =   list(self.get_tokenizer().get_vocab().keys()    )

             self.assertEqual(vocab_keys[0]				,    "<s>"    )
             self.assertEqual(vocab_keys[1]				,    "<pad>"    )
             self.assertEqual(vocab_keys[-1]				,    "<mask>"    )
             self.assertEqual(len(__lowercase    )				,    1_002    )



       def 	UpperCamelCase	(						self    ):
             self.assertEqual(self.get_tokenizer().vocab_size				,    1_002    )



       def 	UpperCamelCase	(						self    ):
             _snake_case						:					Union[str, Any]    =   XLMRobertaTokenizer(__lowercase				,    keep_accents=__lowercase    )

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

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

             _snake_case						:					Dict    =   tokenizer.tokenize("I was born in 92000, and this is falsé."    )
             self.assertListEqual(
                 __lowercase				,    [
                     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",
                     ".",
                 ]				,    )
             _snake_case						:					List[Any]    =   tokenizer.convert_tokens_to_ids(__lowercase    )
             self.assertListEqual(
                 __lowercase				,    [
                     value + tokenizer.fairseq_offset
                     for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
                     #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
                 ]				,    )

             _snake_case						:					Optional[int]    =   tokenizer.convert_ids_to_tokens(__lowercase    )
             self.assertListEqual(
                 __lowercase				,    [
                     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>",
                     ".",
                 ]				,    )



       def 	UpperCamelCase	(						self    ):
             if not self.test_slow_tokenizer:
                   # as we don't have a slow version, we can't compare the outputs between slow and fast versions
                   return

             _snake_case						:					Optional[int]    =   (self.rust_tokenizer_class, "hf-internal-testing/tiny-xlm-roberta", {})
             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
                         _snake_case						:					Optional[int]    =   self.rust_tokenizer_class.from_pretrained(__lowercase				,    **__lowercase    )
                         _snake_case						:					List[str]    =   self.tokenizer_class.from_pretrained(__lowercase				,    **__lowercase    )

                         _snake_case						:					Dict    =   tempfile.mkdtemp()

                         _snake_case						:					Optional[int]    =   tokenizer_r.save_pretrained(__lowercase    )
                         _snake_case						:					Optional[int]    =   tokenizer_p.save_pretrained(__lowercase    )

                         # Checks it save with the same files + the tokenizer.json file for the fast one
                         self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files    )    )
                         _snake_case						:					Union[str, Any]    =   tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f    )
                         self.assertSequenceEqual(__lowercase				,    __lowercase    )

                         # Checks everything loads correctly in the same way
                         _snake_case						:					Dict    =   tokenizer_r.from_pretrained(__lowercase    )
                         _snake_case						:					Dict    =   tokenizer_p.from_pretrained(__lowercase    )

                         # Check special tokens are set accordingly on Rust and Python
                         for key in tokenizer_pp.special_tokens_map:
                               self.assertTrue(hasattr(__lowercase				,    __lowercase    )    )
                               # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                               # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

                         shutil.rmtree(__lowercase    )

                         # Save tokenizer rust, legacy_format=True
                         _snake_case						:					Any    =   tempfile.mkdtemp()

                         _snake_case						:					int    =   tokenizer_r.save_pretrained(__lowercase				,    legacy_format=__lowercase    )
                         _snake_case						:					Optional[Any]    =   tokenizer_p.save_pretrained(__lowercase    )

                         # Checks it save with the same files
                         self.assertSequenceEqual(__lowercase				,    __lowercase    )

                         # Checks everything loads correctly in the same way
                         _snake_case						:					List[Any]    =   tokenizer_r.from_pretrained(__lowercase    )
                         _snake_case						:					str    =   tokenizer_p.from_pretrained(__lowercase    )

                         # Check special tokens are set accordingly on Rust and Python
                         for key in tokenizer_pp.special_tokens_map:
                               self.assertTrue(hasattr(__lowercase				,    __lowercase    )    )

                         shutil.rmtree(__lowercase    )

                         # Save tokenizer rust, legacy_format=False
                         _snake_case						:					Optional[Any]    =   tempfile.mkdtemp()

                         _snake_case						:					int    =   tokenizer_r.save_pretrained(__lowercase				,    legacy_format=__lowercase    )
                         _snake_case						:					Optional[int]    =   tokenizer_p.save_pretrained(__lowercase    )

                         # Checks it saved the tokenizer.json file
                         self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files    )    )

                         # Checks everything loads correctly in the same way
                         _snake_case						:					Tuple    =   tokenizer_r.from_pretrained(__lowercase    )
                         _snake_case						:					Tuple    =   tokenizer_p.from_pretrained(__lowercase    )

                         # Check special tokens are set accordingly on Rust and Python
                         for key in tokenizer_pp.special_tokens_map:
                               self.assertTrue(hasattr(__lowercase				,    __lowercase    )    )

                         shutil.rmtree(__lowercase    )



       @cached_property
       def 	UpperCamelCase	(						self    ):
             return XLMRobertaTokenizer.from_pretrained("xlm-roberta-base"    )



       def 	UpperCamelCase	(						self    ):
             with tempfile.NamedTemporaryFile() as f:
                   shutil.copyfile(__lowercase				,    f.name    )
                   _snake_case						:					List[Any]    =   XLMRobertaTokenizer(f.name				,    keep_accents=__lowercase    )
                   _snake_case						:					List[Any]    =   pickle.dumps(__lowercase    )
             pickle.loads(__lowercase    )



       def 	UpperCamelCase	(						self    ):
             if not self.test_rust_tokenizer:
                   return

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

             _snake_case						:					Any    =   "I was born in 92000, and this is falsé."

             _snake_case						:					Dict    =   tokenizer.tokenize(__lowercase    )
             _snake_case						:					str    =   rust_tokenizer.tokenize(__lowercase    )
             self.assertListEqual(__lowercase				,    __lowercase    )

             _snake_case						:					int    =   tokenizer.encode(__lowercase				,    add_special_tokens=__lowercase    )
             _snake_case						:					Optional[int]    =   rust_tokenizer.encode(__lowercase				,    add_special_tokens=__lowercase    )
             self.assertListEqual(__lowercase				,    __lowercase    )

             _snake_case						:					Dict    =   self.get_rust_tokenizer()
             _snake_case						:					int    =   tokenizer.encode(__lowercase    )
             _snake_case						:					Tuple    =   rust_tokenizer.encode(__lowercase    )
             self.assertListEqual(__lowercase				,    __lowercase    )



       @slow
       def 	UpperCamelCase	(						self    ):
             _snake_case						:					List[Any]    =   "Hello World!"
             _snake_case						:					Union[str, Any]    =   [0, 35_378, 6_661, 38, 2]
             # xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
             # xlmr.eval()
             # xlmr.encode(symbols)

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



       @slow
       def 	UpperCamelCase	(						self    ):
             _snake_case						:					Dict    =   (
                 "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"
             )
             _snake_case						:					Any    =   [
                 0,
                 3_293,
                 83,
                 10,
                 4_552,
                 4_989,
                 7_986,
                 678,
                 10,
                 5_915,
                 111,
                 179_459,
                 124_850,
                 4,
                 6_044,
                 237,
                 12,
                 6,
                 5,
                 6,
                 4,
                 6_780,
                 705,
                 15,
                 1_388,
                 44,
                 378,
                 10_114,
                 711,
                 152,
                 20,
                 6,
                 5,
                 22_376,
                 642,
                 1_221,
                 15_190,
                 34_153,
                 450,
                 5_608,
                 959,
                 1_119,
                 57_702,
                 136,
                 186,
                 47,
                 1_098,
                 29_367,
                 47,
                 # 4426, # What fairseq tokenizes from "<unk>": "_<"
                 # 3678, # What fairseq tokenizes from "<unk>": "unk"
                 # 2740, # What fairseq tokenizes from "<unk>": ">"
                 3,  # What we tokenize from "<unk>": "<unk>"
                 6,  # Residue from the tokenization: an extra sentencepiece underline
                 4,
                 6_044,
                 237,
                 6_284,
                 50_901,
                 528,
                 31,
                 90,
                 34,
                 927,
                 2,
             ]
             # xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
             # xlmr.eval()
             # xlmr.encode(symbols)

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



       @slow
       def 	UpperCamelCase	(						self    ):
             # fmt: off
             _snake_case						:					Union[str, Any]    =   {"input_ids": [[0, 11_062, 82_772, 7, 15, 82_772, 538, 51_529, 237, 17_198, 1_290, 206, 9, 215_175, 1_314, 136, 17_198, 1_290, 206, 9, 56_359, 42, 122_009, 9, 16_466, 16, 87_344, 4_537, 9, 4_717, 78_381, 6, 159_958, 7, 15, 24_480, 618, 4, 527, 22_693, 5_428, 4, 2_777, 24_480, 9_874, 4, 43_523, 594, 4, 803, 18_392, 33_189, 18, 4, 43_523, 24_447, 12_399, 100, 24_955, 83_658, 9_626, 144_057, 15, 839, 22_335, 16, 136, 24_955, 83_658, 83_479, 15, 39_102, 724, 16, 678, 645, 2_789, 1_328, 4_589, 42, 122_009, 115_774, 23, 805, 1_328, 46_876, 7, 136, 53_894, 1_940, 42_227, 41_159, 17_721, 823, 425, 4, 27_512, 98_722, 206, 136, 5_531, 4_970, 919, 17_336, 5, 2], [0, 20_080, 618, 83, 82_775, 47, 479, 9, 1_517, 73, 53_894, 333, 80_581, 110_117, 18_811, 5_256, 1_295, 51, 152_526, 297, 7_986, 390, 124_416, 538, 35_431, 214, 98, 15_044, 25_737, 136, 7_108, 43_701, 23, 756, 135_355, 7, 5, 2, 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, 581, 63_773, 119_455, 6, 147_797, 88_203, 7, 645, 70, 21, 3_285, 10_269, 5, 2, 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]], "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, 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, 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=__lowercase				,    model_name="xlm-roberta-base"				,    revision="d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3"				,    )
from __future__ import annotations
def  snake_case						(__lowercase ,      __lowercase						)	->	float:

						'''simple docstring'''



						_snake_case						:					Any    =   sorted(numsa + numsa						)
						_snake_case    ,_snake_case						:					Any    =   divmod(len(__lowercase						) ,      2						)
						if mod == 1:
												return all_numbers[div]
						else:
												return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				__SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			[float(x) for x in input('Enter the elements of first array: ').split()]
				__SCREAMING_SNAKE_CASE						:   List[Any]         =			[float(x) for x in input('Enter the elements of second array: ').split()]
				print(F'''The median of two arrays is: {median_of_two_arrays(array_a, array_a)}''')