
import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout



def 	UpperCamelCase   (							lowerCAmelCase__		):
     '''simple docstring'''
     lowercase						     =						FileLock(str(tmpdir / '''foo.lock'''		)		)
     lowercase						     =						FileLock(str(tmpdir / '''foo.lock'''		)		)
     lowercase						     =						0.01
     with locka.acquire():
          with pytest.raises(__a		):
               lowercase						     =						time.time()
               locka.acquire(__a		)
               assert time.time() - _start > timeout



def 	UpperCamelCase   (							lowerCAmelCase__		):
     '''simple docstring'''
     lowercase						     =						'a' * 1000 + '.lock'
     lowercase						     =						FileLock(str(tmpdir / filename		)		)
     assert locka._lock_file.endswith('''.lock'''		)
     assert not locka._lock_file.endswith(__a		)
     assert len(os.path.basename(locka._lock_file		)		) <= 255
     lowercase						     =						FileLock(tmpdir / filename		)
     with locka.acquire():
          with pytest.raises(__a		):
               locka.acquire(0		)






from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
							import numpy as np
							import tensorflow as tf

							from transformers import TFXLMRobertaModel







@require_tf
@require_sentencepiece
@require_tokenizers
class     lowercase		( unittest.TestCase		):




							@slow
							def 			A__				(    self):
												lowercase						     =						TFXLMRobertaModel.from_pretrained('''jplu/tf-xlm-roberta-base''')

												lowercase						     =						{
												    '''input_ids''': tf.convert_to_tensor([[0, 2_6_4_6, 1_0_2_6_9, 8_3, 9_9_9_4_2, 2]]       ,dtype=tf.intaa),  # "My dog is cute"
												    '''attention_mask''': tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]       ,dtype=tf.intaa),
												}

												lowercase						     =						model(A__)['''last_hidden_state''']
												lowercase						     =						tf.TensorShape((1, 6, 7_6_8))
												self.assertEqual(output.shape       ,A__)
												# compare the actual values for a slice.
												lowercase						     =						tf.convert_to_tensor(
												    [
												        [
												            [0.0681762, 0.10894451, 0.06772504],
												            [-0.06423668, 0.02366615, 0.04329344],
												            [-0.06057295, 0.09974135, -0.00070584],
												        ]
												    ]       ,dtype=tf.floataa       ,)

												self.assertTrue(np.allclose(output[:, :3, :3].numpy()       ,expected_slice.numpy()       ,atol=1E-4))




