



"""simple docstring"""






import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
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


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



@require_sentencepiece
@require_tokenizers
class      A__  (    __SCREAMING_SNAKE_CASE    ,						unittest.TestCase				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      XGLMTokenizer
	SCREAMING_SNAKE_CASE        =      XGLMTokenizerFast
	SCREAMING_SNAKE_CASE        =      True
	SCREAMING_SNAKE_CASE        =      True

	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[int])							->			Optional[Any]:

				"""simple docstring"""

				super().setUp()

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[Any])							->			int:

				"""simple docstring"""

				__lowerCAmelCase :    Union[str, Any]				=			"<pad>"
				__lowerCAmelCase :    List[Any]				=			1

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						str)							->			Tuple:

				"""simple docstring"""

				__lowerCAmelCase :    List[Any]				=			list(self.get_tokenizer().get_vocab().keys())

				self.assertEqual(vocab_keys[0]			,     "<s>")
				self.assertEqual(vocab_keys[1]			,     "<pad>")
				self.assertEqual(len(_SCREAMING_SNAKE_CASE)			,     1008)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Any)							->			int:

				"""simple docstring"""

				self.assertEqual(self.get_tokenizer().vocab_size			,     1008)

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[str])							->			List[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    int				=			XGLMTokenizer(_SCREAMING_SNAKE_CASE			,     keep_accents=_SCREAMING_SNAKE_CASE)

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

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

				__lowerCAmelCase :    int				=			tokenizer.tokenize("I was born in 92000, and this is falsé.")
				self.assertListEqual(
				    _SCREAMING_SNAKE_CASE			,     [
				        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 :    Optional[int]				=			tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(
				    _SCREAMING_SNAKE_CASE			,     [
				        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]
				    ]			,     )

				__lowerCAmelCase :    str				=			tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(
				    _SCREAMING_SNAKE_CASE			,     [
				        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 				_SCREAMING_SNAKE_CASE  (	self:						Any)							->			int:

				"""simple docstring"""

				return XGLMTokenizer.from_pretrained("facebook/xglm-564M")

	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[Any])							->			Optional[int]:

				"""simple docstring"""

				with tempfile.NamedTemporaryFile() as f:
							shutil.copyfile(_SCREAMING_SNAKE_CASE			,     f.name)
							__lowerCAmelCase :    int				=			XGLMTokenizer(f.name			,     keep_accents=_SCREAMING_SNAKE_CASE)
							__lowerCAmelCase :    List[Any]				=			pickle.dumps(_SCREAMING_SNAKE_CASE)
				pickle.loads(_SCREAMING_SNAKE_CASE)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple)							->			Union[str, Any]:

				"""simple docstring"""

				if not self.test_rust_tokenizer:
							return

				__lowerCAmelCase :    Any				=			self.get_tokenizer()
				__lowerCAmelCase :    Union[str, Any]				=			self.get_rust_tokenizer()

				__lowerCAmelCase :    Union[str, Any]				=			"I was born in 92000, and this is falsé."

				__lowerCAmelCase :    Dict				=			tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Dict				=			rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    Optional[int]				=			tokenizer.encode(_SCREAMING_SNAKE_CASE			,     add_special_tokens=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Any				=			rust_tokenizer.encode(_SCREAMING_SNAKE_CASE			,     add_special_tokens=_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    Dict				=			self.get_rust_tokenizer()
				__lowerCAmelCase :    Union[str, Any]				=			tokenizer.encode(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Union[str, Any]				=			rust_tokenizer.encode(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)

	@slow
	def 				_SCREAMING_SNAKE_CASE  (	self:						int)							->			Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase :    Optional[int]				=			"Hello World!"
				__lowerCAmelCase :    int				=			[2, 3_1227, 4447, 35]

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

	@slow
	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[int])							->			Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    List[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 :    Any				=			[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 7_1630, 2_8085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 1_3675, 377, 652, 7580, 1_0341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 20_2277, 1_7892, 33, 60, 87, 4, 3234, 157, 61, 2667, 5_2376, 19, 88, 23, 735]
				# fmt: on

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







	@slow
	def 				_SCREAMING_SNAKE_CASE  (	self:						Any)							->			Tuple:

				"""simple docstring"""

				__lowerCAmelCase :    Optional[int]				=			{
				    "input_ids": [[2, 10_8825, 1163, 15, 8_8010, 473, 1_5898, 157, 1_3672, 1857, 312, 8, 23_8021, 1163, 53, 1_3672, 1857, 312, 8, 5_3283, 18_2396, 8, 1_8566, 16, 3_6733, 4101, 8, 230, 24_4017, 12_2553, 7, 15, 13_2597, 4, 293, 1_2511, 7610, 4, 3414, 13_2597, 9, 4, 3_2361, 362, 4, 734, 2_8512, 3_2569, 18, 4, 3_2361, 2_6096, 1_4982, 73, 1_8715, 2_1433, 23_5261, 15, 492, 1_2427, 16, 53, 1_8715, 2_1433, 6_5454, 15, 2_3659, 563, 16, 278, 597, 2843, 595, 7931, 18_2396, 6_4186, 22, 886, 595, 13_2981, 53, 2_5540, 3449, 4_3982, 3_9901, 5951, 878, 330, 4, 2_7694, 8_0269, 312, 53, 6517, 1_1780, 611, 2_0408, 5], [2, 6, 13_2597, 67, 4_2897, 33, 592, 8, 16_3729, 2_5540, 361, 13_6997, 10_9514, 17_3230, 7, 501, 60, 10_2913, 196, 5631, 235, 6_3243, 473, 6, 23_1757, 74, 5277, 7905, 53, 3095, 3_7317, 22, 454, 18_3874, 5], [2, 268, 3_1298, 4_6530, 6, 13_2935, 4_3831, 7, 597, 32, 24, 3688, 9865, 5]],
				    "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, 1, 1, 1]]
				}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=_SCREAMING_SNAKE_CASE			,     model_name="facebook/xglm-564M"			,     padding=_SCREAMING_SNAKE_CASE			,     )




"""simple docstring"""






def      _lowercase							(    __snake_case   ,__snake_case      )		->  int:
			return int((input_a, input_a).count(1      ) != 0      )


def      _lowercase							(    )		->  None:
			assert or_gate(0   ,0      ) == 0
			assert or_gate(0   ,1      ) == 1
			assert or_gate(1   ,0      ) == 1
			assert or_gate(1   ,1      ) == 1


if __name__ == "__main__":
	print(or_gate(0, 1))
	print(or_gate(1, 0))
	print(or_gate(0, 0))
	print(or_gate(1, 1))