




"""simple docstring"""







import unittest

import numpy as np

from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
		import jax.numpy as jnp

		from transformers.models.albert.modeling_flax_albert import (
		    FlaxAlbertForMaskedLM,
		    FlaxAlbertForMultipleChoice,
		    FlaxAlbertForPreTraining,
		    FlaxAlbertForQuestionAnswering,
		    FlaxAlbertForSequenceClassification,
		    FlaxAlbertForTokenClassification,
		    FlaxAlbertModel,
		)






class       SCREAMING_SNAKE_CASE__					(					unittest.TestCase					):


						def __init__(							self				:			Dict						,						lowerCAmelCase				:			Union[str, Any]						,						lowerCAmelCase				:			Dict=13						,						lowerCAmelCase				:			Dict=7						,						lowerCAmelCase				:			Optional[Any]=True						,						lowerCAmelCase				:			Any=True						,						lowerCAmelCase				:			Tuple=True						,						lowerCAmelCase				:			Union[str, Any]=True						,						lowerCAmelCase				:			Any=99						,						lowerCAmelCase				:			Tuple=32						,						lowerCAmelCase				:			Union[str, Any]=5						,						lowerCAmelCase				:			List[Any]=4						,						lowerCAmelCase				:			Optional[int]=37						,						lowerCAmelCase				:			Optional[Any]="gelu"						,						lowerCAmelCase				:			int=0.1						,						lowerCAmelCase				:			Dict=0.1						,						lowerCAmelCase				:			str=512						,						lowerCAmelCase				:			Tuple=16						,						lowerCAmelCase				:			Dict=2						,						lowerCAmelCase				:			Tuple=0.02						,						lowerCAmelCase				:			Optional[Any]=4						,						):
										lowerCAmelCase  =				parent
										lowerCAmelCase  =				batch_size
										lowerCAmelCase  =				seq_length
										lowerCAmelCase  =				is_training
										lowerCAmelCase  =				use_attention_mask
										lowerCAmelCase  =				use_token_type_ids
										lowerCAmelCase  =				use_labels
										lowerCAmelCase  =				vocab_size
										lowerCAmelCase  =				hidden_size
										lowerCAmelCase  =				num_hidden_layers
										lowerCAmelCase  =				num_attention_heads
										lowerCAmelCase  =				intermediate_size
										lowerCAmelCase  =				hidden_act
										lowerCAmelCase  =				hidden_dropout_prob
										lowerCAmelCase  =				attention_probs_dropout_prob
										lowerCAmelCase  =				max_position_embeddings
										lowerCAmelCase  =				type_vocab_size
										lowerCAmelCase  =				type_sequence_label_size
										lowerCAmelCase  =				initializer_range
										lowerCAmelCase  =				num_choices


						def   __lowercase (							self				:			Dict					):
										lowerCAmelCase  =				ids_tensor([self.batch_size, self.seq_length]						,						self.vocab_size					)

										lowerCAmelCase  =				None
										if self.use_attention_mask:
														lowerCAmelCase  =				random_attention_mask([self.batch_size, self.seq_length]					)

										lowerCAmelCase  =				None
										if self.use_token_type_ids:
														lowerCAmelCase  =				ids_tensor([self.batch_size, self.seq_length]						,						self.type_vocab_size					)

										lowerCAmelCase  =				AlbertConfig(
										    vocab_size=self.vocab_size						,						hidden_size=self.hidden_size						,						num_hidden_layers=self.num_hidden_layers						,						num_attention_heads=self.num_attention_heads						,						intermediate_size=self.intermediate_size						,						hidden_act=self.hidden_act						,						hidden_dropout_prob=self.hidden_dropout_prob						,						attention_probs_dropout_prob=self.attention_probs_dropout_prob						,						max_position_embeddings=self.max_position_embeddings						,						type_vocab_size=self.type_vocab_size						,						is_decoder=lowerCAmelCase						,						initializer_range=self.initializer_range						,						)

										return config, input_ids, token_type_ids, attention_mask




						def   __lowercase (							self				:			str					):
										lowerCAmelCase  =				self.prepare_config_and_inputs()
										lowerCAmelCase ,						lowerCAmelCase ,						lowerCAmelCase ,						lowerCAmelCase  =				config_and_inputs
										lowerCAmelCase  =				{"""input_ids""": input_ids, """token_type_ids""": token_type_ids, """attention_mask""": attention_mask}
										return config, inputs_dict






@require_flax
class       SCREAMING_SNAKE_CASE__					(					_a						,				unittest.TestCase					):
						_a    						=						(
						    (
						        FlaxAlbertModel,
						        FlaxAlbertForPreTraining,
						        FlaxAlbertForMaskedLM,
						        FlaxAlbertForMultipleChoice,
						        FlaxAlbertForQuestionAnswering,
						        FlaxAlbertForSequenceClassification,
						        FlaxAlbertForTokenClassification,
						        FlaxAlbertForQuestionAnswering,
						    )
						    if is_flax_available()
						    else ()
						)


						def   __lowercase (							self				:			List[str]					):
										lowerCAmelCase  =				FlaxAlbertModelTester(self					)




						@slow
						def   __lowercase (							self				:			Union[str, Any]					):
										for model_class_name in self.all_model_classes:
														lowerCAmelCase  =				model_class_name.from_pretrained("""albert-base-v2"""					)
														lowerCAmelCase  =				model(np.ones((1, 1)					)					)
														self.assertIsNotNone(lowerCAmelCase					)






@require_flax
class       SCREAMING_SNAKE_CASE__					(					unittest.TestCase					):


						@slow
						def   __lowercase (							self				:			List[Any]					):
										lowerCAmelCase  =				FlaxAlbertModel.from_pretrained("""albert-base-v2"""					)
										lowerCAmelCase  =				np.array([[0, 345, 232, 328, 740, 140, 1695, 69, 6078, 1588, 2]]					)
										lowerCAmelCase  =				np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]					)
										lowerCAmelCase  =				model(lowerCAmelCase						,						attention_mask=lowerCAmelCase					)[0]
										lowerCAmelCase  =				(1, 11, 768)
										self.assertEqual(output.shape						,						lowerCAmelCase					)
										lowerCAmelCase  =				np.array(
										    [[[-0.6513, 1.5035, -0.2766], [-0.6515, 1.5046, -0.2780], [-0.6512, 1.5049, -0.2784]]]					)

										self.assertTrue(jnp.allclose(output[:, 1:4, 1:4]						,						lowerCAmelCase						,						atol=1e-4					)					)











"""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


a      =							get_tests_dir('fixtures/test_sentencepiece.model')






@require_sentencepiece
@require_tokenizers
class       SCREAMING_SNAKE_CASE__					(					_a						,				unittest.TestCase					):
						_a    						=						XGLMTokenizer
						_a    						=						XGLMTokenizerFast
						_a    						=						True
						_a    						=						True


						def   __lowercase (							self				:			Union[str, Any]					):
										super().setUp()

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


						def   __lowercase (							self				:			Union[str, Any]					):
										lowerCAmelCase  =				"""<pad>"""
										lowerCAmelCase  =				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				:			List[str]					):
										lowerCAmelCase  =				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				:			Optional[int]					):
										self.assertEqual(self.get_tokenizer().vocab_size						,						1008					)


						def   __lowercase (							self				:			int					):
										lowerCAmelCase  =				XGLMTokenizer(lowerCAmelCase						,						keep_accents=lowerCAmelCase					)

										lowerCAmelCase  =				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]]						,						)

										lowerCAmelCase  =				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""",
										        """.""",
										    ]						,						)
										lowerCAmelCase  =				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]
										    ]						,						)

										lowerCAmelCase  =				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				:			Optional[Any]					):
										return XGLMTokenizer.from_pretrained("""facebook/xglm-564M"""					)


						def   __lowercase (							self				:			List[str]					):
										with tempfile.NamedTemporaryFile() as f:
														shutil.copyfile(lowerCAmelCase						,						f.name					)
														lowerCAmelCase  =				XGLMTokenizer(f.name						,						keep_accents=lowerCAmelCase					)
														lowerCAmelCase  =				pickle.dumps(lowerCAmelCase					)
										pickle.loads(lowerCAmelCase					)


						def   __lowercase (							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(lowerCAmelCase					)
										lowerCAmelCase  =				rust_tokenizer.tokenize(lowerCAmelCase					)
										self.assertListEqual(lowerCAmelCase						,						lowerCAmelCase					)

										lowerCAmelCase  =				tokenizer.encode(lowerCAmelCase						,						add_special_tokens=lowerCAmelCase					)
										lowerCAmelCase  =				rust_tokenizer.encode(lowerCAmelCase						,						add_special_tokens=lowerCAmelCase					)
										self.assertListEqual(lowerCAmelCase						,						lowerCAmelCase					)

										lowerCAmelCase  =				self.get_rust_tokenizer()
										lowerCAmelCase  =				tokenizer.encode(lowerCAmelCase					)
										lowerCAmelCase  =				rust_tokenizer.encode(lowerCAmelCase					)
										self.assertListEqual(lowerCAmelCase						,						lowerCAmelCase					)


						@slow
						def   __lowercase (							self				:			Union[str, Any]					):
										lowerCAmelCase  =				"""Hello World!"""
										lowerCAmelCase  =				[2, 3_1227, 4447, 35]

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


						@slow
						def   __lowercase (							self				:			str					):
										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(lowerCAmelCase						,						self.big_tokenizer.encode(lowerCAmelCase					)					)




						@slow
						def   __lowercase (							self				:			str					):
										# 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=lowerCAmelCase						,						model_name="""facebook/xglm-564M"""						,						padding=lowerCAmelCase						,						)





