'''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


lowercase_     		= get_tests_dir('''fixtures/test_sentencepiece.model''')
@require_sentencepiece
@require_tokenizers
class   SCREAMING_SNAKE_CASE			(						lowercase__    ,			unittest.TestCase):







		"""simple docstring"""
		lowercase   :      Dict       =							XGLMTokenizer
		lowercase   :      Dict       =							XGLMTokenizerFast
		lowercase   :      Tuple       =							True
		lowercase   :      List[str]       =							True






		def 		UpperCamelCase__       (   self				) ->     str:
								super().setUp()

								# We have a SentencePiece fixture for testing
								_lowerCAmelCase										=XGLMTokenizer(__lowercase		,						keep_accents=__lowercase				)
								tokenizer.save_pretrained(self.tmpdirname				)






		def 		UpperCamelCase__       (   self				) ->     int:
								_lowerCAmelCase										='<pad>'
								_lowerCAmelCase										=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				) ->     str:
								_lowerCAmelCase										=list(self.get_tokenizer().get_vocab().keys()				)

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






		def 		UpperCamelCase__       (   self				) ->     List[Any]:
								self.assertEqual(self.get_tokenizer().vocab_size		,						1008				)






		def 		UpperCamelCase__       (   self				) ->     List[Any]:
								_lowerCAmelCase										=XGLMTokenizer(__lowercase		,						keep_accents=__lowercase				)

								_lowerCAmelCase										=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]]		,						)

								_lowerCAmelCase										=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',
								        '.',
								    ]		,						)
								_lowerCAmelCase										=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]
								    ]		,						)

								_lowerCAmelCase										=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>',
								        '.',
								    ]		,						)






		@cached_property
		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								return XGLMTokenizer.from_pretrained('facebook/xglm-564M'				)






		def 		UpperCamelCase__       (   self				) ->     Optional[int]:
								with tempfile.NamedTemporaryFile() as f:
														shutil.copyfile(__lowercase		,						f.name				)
														_lowerCAmelCase										=XGLMTokenizer(f.name		,						keep_accents=__lowercase				)
														_lowerCAmelCase										=pickle.dumps(__lowercase				)
								pickle.loads(__lowercase				)






		def 		UpperCamelCase__       (   self				) ->     Optional[int]:
								if not self.test_rust_tokenizer:
														return

								_lowerCAmelCase										=self.get_tokenizer()
								_lowerCAmelCase										=self.get_rust_tokenizer()

								_lowerCAmelCase										='I was born in 92000, and this is falsé.'

								_lowerCAmelCase										=tokenizer.tokenize(__lowercase				)
								_lowerCAmelCase										=rust_tokenizer.tokenize(__lowercase				)
								self.assertListEqual(__lowercase		,						__lowercase				)

								_lowerCAmelCase										=tokenizer.encode(__lowercase		,						add_special_tokens=__lowercase				)
								_lowerCAmelCase										=rust_tokenizer.encode(__lowercase		,						add_special_tokens=__lowercase				)
								self.assertListEqual(__lowercase		,						__lowercase				)

								_lowerCAmelCase										=self.get_rust_tokenizer()
								_lowerCAmelCase										=tokenizer.encode(__lowercase				)
								_lowerCAmelCase										=rust_tokenizer.encode(__lowercase				)
								self.assertListEqual(__lowercase		,						__lowercase				)






		@slow
		def 		UpperCamelCase__       (   self				) ->     List[str]:
								_lowerCAmelCase										='Hello World!'
								_lowerCAmelCase										=[2, 3_1227, 4447, 35]

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






		@slow
		def 		UpperCamelCase__       (   self				) ->     Dict:
								_lowerCAmelCase										=(
								    '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										=[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(__lowercase		,						self.big_tokenizer.encode(__lowercase				)				)






		@slow
		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								# fmt: off
								_lowerCAmelCase										={
								    '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=__lowercase		,						model_name='facebook/xglm-564M'		,						padding=__lowercase		,						)






'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_     		= logging.get_logger(__name__)

lowercase_     		= {
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}
class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""
		lowercase   :      List[str]       =							'data2vec-text'






		def __init__(   self		,						__A=3_0522		,						__A=768		,						__A=12		,						__A=12		,						__A=3072		,						__A="gelu"		,						__A=0.1		,						__A=0.1		,						__A=512		,						__A=2		,						__A=0.02		,						__A=1E-12		,						__A=1		,						__A=0		,						__A=2		,						__A="absolute"		,						__A=True		,						__A=None		,						**__A		,						) ->     List[Any]:
								super().__init__(pad_token_id=__A		,						bos_token_id=__A		,						eos_token_id=__A		,						**__A				)

								_lowerCAmelCase										=vocab_size
								_lowerCAmelCase										=hidden_size
								_lowerCAmelCase										=num_hidden_layers
								_lowerCAmelCase										=num_attention_heads
								_lowerCAmelCase										=hidden_act
								_lowerCAmelCase										=intermediate_size
								_lowerCAmelCase										=hidden_dropout_prob
								_lowerCAmelCase										=attention_probs_dropout_prob
								_lowerCAmelCase										=max_position_embeddings
								_lowerCAmelCase										=type_vocab_size
								_lowerCAmelCase										=initializer_range
								_lowerCAmelCase										=layer_norm_eps
								_lowerCAmelCase										=position_embedding_type
								_lowerCAmelCase										=use_cache
								_lowerCAmelCase										=classifier_dropout

class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""






		@property
		def 		UpperCamelCase__       (   self				) ->     Mapping[str, Mapping[int, str]]:
								if self.task == "multiple-choice":
														_lowerCAmelCase										={0: 'batch', 1: 'choice', 2: 'sequence'}
								else:
														_lowerCAmelCase										={0: 'batch', 1: 'sequence'}
								return OrderedDict(
								    [
								        ('input_ids', dynamic_axis),
								        ('attention_mask', dynamic_axis),
								    ]				)





