






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


A_       :Dict       =						get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
@require_tokenizers
class 				__A     (			a      ,     unittest.TestCase ):





				"""simple docstring"""







				UpperCamelCase__ :      Any			 =XGLMTokenizer
				UpperCamelCase__ :      Union[str, Any]			 =XGLMTokenizerFast
				UpperCamelCase__ :      Any			 =True
				UpperCamelCase__ :      Tuple			 =True


				def       __lowercase							( self    ):




									"""simple docstring"""

									super().setUp()

									# We have a SentencePiece fixture for testing
									__UpperCamelCase      :					int       		=XGLMTokenizer(lowerCamelCase__							,  keep_accents=lowerCamelCase__    )
									tokenizer.save_pretrained(self.tmpdirname    )


				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					Union[str, Any]       		='<pad>'
									__UpperCamelCase      :					str       		=1

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


				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					List[str]       		=list(self.get_tokenizer().get_vocab().keys()    )

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


				def       __lowercase							( self    ):




									"""simple docstring"""

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


				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					Any       		=XGLMTokenizer(lowerCamelCase__							,  keep_accents=lowerCamelCase__    )

									__UpperCamelCase      :					Optional[int]       		=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]]							,  )

									__UpperCamelCase      :					Dict       		=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',
									        '.',
									    ]							,  )
									__UpperCamelCase      :					int       		=tokenizer.convert_tokens_to_ids(lowerCamelCase__    )
									self.assertListEqual(
									    lowerCamelCase__							,  [
									        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]
									    ]							,  )

									__UpperCamelCase      :					str       		=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       __lowercase							( self    ):




									"""simple docstring"""

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


				def       __lowercase							( self    ):




									"""simple docstring"""

									with tempfile.NamedTemporaryFile() as f:
														shutil.copyfile(lowerCamelCase__							,  f.name    )
														__UpperCamelCase      :					str       		=XGLMTokenizer(f.name							,  keep_accents=lowerCamelCase__    )
														__UpperCamelCase      :					Tuple       		=pickle.dumps(lowerCamelCase__    )
									pickle.loads(lowerCamelCase__    )


				def       __lowercase							( self    ):




									"""simple docstring"""

									if not self.test_rust_tokenizer:
														return

									__UpperCamelCase      :					int       		=self.get_tokenizer()
									__UpperCamelCase      :					List[Any]       		=self.get_rust_tokenizer()

									__UpperCamelCase      :					Tuple       		='I was born in 92000, and this is falsé.'

									__UpperCamelCase      :					Optional[int]       		=tokenizer.tokenize(lowerCamelCase__    )
									__UpperCamelCase      :					Tuple       		=rust_tokenizer.tokenize(lowerCamelCase__    )
									self.assertListEqual(lowerCamelCase__							,  lowerCamelCase__    )

									__UpperCamelCase      :					Dict       		=tokenizer.encode(lowerCamelCase__							,  add_special_tokens=lowerCamelCase__    )
									__UpperCamelCase      :					Dict       		=rust_tokenizer.encode(lowerCamelCase__							,  add_special_tokens=lowerCamelCase__    )
									self.assertListEqual(lowerCamelCase__							,  lowerCamelCase__    )

									__UpperCamelCase      :					Any       		=self.get_rust_tokenizer()
									__UpperCamelCase      :					Union[str, Any]       		=tokenizer.encode(lowerCamelCase__    )
									__UpperCamelCase      :					str       		=rust_tokenizer.encode(lowerCamelCase__    )
									self.assertListEqual(lowerCamelCase__							,  lowerCamelCase__    )


				@slow
				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					Dict       		='Hello World!'
									__UpperCamelCase      :					int       		=[2, 31227, 4447, 35]

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


				@slow
				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					str       		=(
									    '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
									__UpperCamelCase      :					Tuple       		=[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
									# fmt: on

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







				@slow
				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					Tuple       		={
									    'input_ids': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 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=lowerCamelCase__							,  model_name='facebook/xglm-564M'							,  padding=lowerCamelCase__							,  )






import cmath
import math






def     a(      A       :    float ,     A       :    float ,     A       :    float ,     A       :    float       )		->       complex:
					"""simple docstring"""





					a					     =   math.radians(A       )
					a					     =   math.radians(A       )

					# Convert voltage and current to rectangular form
					a					     =   cmath.rect(A ,     A       )
					a					     =   cmath.rect(A ,     A       )

					# Calculate apparent power
					return voltage_rect * current_rect


if __name__ == "__main__":
				import doctest

				doctest.testmod()
