


'''simple docstring'''
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 			lowerCamelCase_   (	unittest.TestCase      ):






      @slow
      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[int]													=				TFXLMRobertaModel.from_pretrained('''jplu/tf-xlm-roberta-base''' )

          UpperCAmelCase__			:		Optional[Any]													=				{
              "input_ids": tf.convert_to_tensor([[0, 2_646, 10_269, 83, 99_942, 2]]						,						dtype=tf.intaa ),  # "My dog is cute"
              "attention_mask": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]						,						dtype=tf.intaa ),
          }

          UpperCAmelCase__			:		List[str]													=				model(UpperCamelCase__ )["last_hidden_state"]
          UpperCAmelCase__			:		Optional[Any]													=				tf.TensorShape((1, 6, 768) )
          self.assertEqual(output.shape						,						UpperCamelCase__ )
          # compare the actual values for a slice.
          UpperCAmelCase__			:		int													=				tf.convert_to_tensor(
              [
                  [
                      [0.0_6_8_1_7_6_2, 0.1_0_8_9_4_4_5_1, 0.0_6_7_7_2_5_0_4],
                      [-0.0_6_4_2_3_6_6_8, 0.0_2_3_6_6_6_1_5, 0.0_4_3_2_9_3_4_4],
                      [-0.0_6_0_5_7_2_9_5, 0.0_9_9_7_4_1_3_5, -0.0_0_0_7_0_5_8_4],
                  ]
              ]						,						dtype=tf.floataa						,						)

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



"""simple docstring"""


from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url






@pytest.mark.parametrize("repo_id"					, ["canonical_dataset_name", "org-name/dataset-name"] )
@pytest.mark.parametrize("path"					, ["filename.csv", "filename with blanks.csv"] )
@pytest.mark.parametrize("revision"					, [None, "v2"] )
def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	List[str]:
		__lowerCAmelCase:       Optional[Any]          =			hf_hub_url(repo_id=__SCREAMING_SNAKE_CASE					, path=__SCREAMING_SNAKE_CASE					, revision=__SCREAMING_SNAKE_CASE )
		assert url == F"https://huggingface.co/datasets/{repo_id}/resolve/{revision or 'main'}/{quote(__SCREAMING_SNAKE_CASE )}"


