






import unittest

from transformers import SPIECE_UNDERLINE, XLNetTokenizer, XLNetTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE__       :			int			      =						get_tests_dir("""fixtures/test_sentencepiece.model""")







@require_sentencepiece
@require_tokenizers
class   __lowerCAmelCase			(					a__		,unittest.TestCase  ):
   _UpperCamelCase :						List[str]     		=				XLNetTokenizer
   _UpperCamelCase :						Tuple     		=				XLNetTokenizerFast
   _UpperCamelCase :						int     		=				True
   _UpperCamelCase :						Optional[int]     		=				True





   def 	_snake_case ( self      )				->  Dict:
      """simple docstring"""





      super().setUp()

      # We have a SentencePiece fixture for testing
      a__	:						str      		=  XLNetTokenizer(lowerCamelCase_					,			keep_accents=lowerCamelCase_      )
      tokenizer.sanitize_special_tokens()
      tokenizer.save_pretrained(self.tmpdirname      )





   def 	_snake_case ( self      )				->  Union[str, Any]:
      """simple docstring"""





      a__	:						List[Any]      		=  "<s>"
      a__	:						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 	_snake_case ( self      )				->  List[str]:
      """simple docstring"""





      a__	:						int      		=  list(self.get_tokenizer().get_vocab().keys()      )

      self.assertEqual(vocab_keys[0]					,			"<unk>"      )
      self.assertEqual(vocab_keys[1]					,			"<s>"      )
      self.assertEqual(vocab_keys[-1]					,			"<eod>"      )
      self.assertEqual(len(lowerCamelCase_      )					,			1_006      )





   def 	_snake_case ( self      )				->  int:
      """simple docstring"""





      self.assertEqual(self.get_tokenizer().vocab_size					,			1_000      )





   def 	_snake_case ( self      )				->  Optional[int]:
      """simple docstring"""





      a__	:						Union[str, Any]      		=  XLNetTokenizer(lowerCamelCase_					,			keep_accents=lowerCamelCase_      )

      a__	:						Dict      		=  tokenizer.tokenize("This is a test"      )
      self.assertListEqual(lowerCamelCase_					,			["▁This", "▁is", "▁a", "▁t", "est"]      )

      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_      )					,			[285, 46, 10, 170, 382]      )

      a__	:						Union[str, Any]      		=  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",
              ".",
          ]					,			)
      a__	:						Union[str, Any]      		=  tokenizer.convert_tokens_to_ids(lowerCamelCase_      )
      self.assertListEqual(lowerCamelCase_					,			[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]      )

      a__	:						int      		=  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>",
              ".",
          ]					,			)





   def 	_snake_case ( self      )				->  List[str]:
      """simple docstring"""





      a__	:						List[str]      		=  XLNetTokenizer(lowerCamelCase_					,			do_lower_case=lowerCamelCase_      )
      a__	:						Tuple      		=  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",
              "se",
              ".",
          ]					,			)
      self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )					,			["▁he", "ll", "o"]      )





   def 	_snake_case ( self      )				->  Optional[int]:
      """simple docstring"""





      a__	:						Dict      		=  XLNetTokenizer(lowerCamelCase_					,			do_lower_case=lowerCamelCase_      )
      a__	:						List[Any]      		=  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",
              "se",
              ".",
          ]					,			)





   @slow
   def 	_snake_case ( self      )				->  Union[str, Any]:
      """simple docstring"""





      a__	:						Optional[Any]      		=  XLNetTokenizer.from_pretrained("xlnet-base-cased"      )

      a__	:						str      		=  tokenizer.encode("sequence builders"					,			add_special_tokens=lowerCamelCase_      )
      a__	:						Dict      		=  tokenizer.encode("multi-sequence build"					,			add_special_tokens=lowerCamelCase_      )

      a__	:						Any      		=  tokenizer.build_inputs_with_special_tokens(lowerCamelCase_      )
      a__	:						Any      		=  tokenizer.build_inputs_with_special_tokens(lowerCamelCase_					,			lowerCamelCase_      )

      assert encoded_sentence == text + [4, 3]
      assert encoded_pair == text + [4] + text_a + [4, 3]





   @slow
   def 	_snake_case ( self      )				->  Union[str, Any]:
      """simple docstring"""





      a__	:						List[str]      		=  {"input_ids": [[17, 21_442, 270, 17, 10, 14_645, 318, 34, 17, 4_546, 3_145, 787, 13, 7_752, 22_018, 23, 21, 17, 4_546, 3_145, 787, 13, 3_352, 14_431, 13, 5_500, 11, 1_176, 580, 13, 16_819, 4_797, 23, 17, 10, 17_135, 658, 19, 457, 7_932, 13, 184, 19, 3_154, 17_135, 6_468, 19, 1_404, 12_269, 19, 4_229, 5_356, 16_264, 46, 19, 17, 20_545, 10_395, 9, 9, 9, 11, 28, 6_421, 9_531, 20_729, 17, 10, 353, 17_022, 11, 21, 6_421, 9_531, 16_949, 17, 10, 11_509, 753, 11, 33, 95, 2_421, 7_385, 956, 14_431, 2_626, 25, 842, 7_385, 4_836, 21, 1_429, 2_272, 9_855, 3_120, 161, 24_738, 19, 13_203, 658, 218, 787, 21, 430, 18_482, 847, 2_637, 9, 4, 3], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 322, 22_178, 27, 1_064, 22, 956, 13, 11_101, 1_429, 5_854, 24_313, 18_953, 40, 422, 24_366, 68, 1_758, 37, 10_483, 14_257, 31, 207, 263, 21, 203, 3_773, 25, 71, 9_735, 9, 4, 3], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 32, 2_049, 3_442, 17, 13_894, 3_380, 23, 95, 18, 17_634, 2_288, 9, 4, 3]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2]], "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], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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="xlnet-base-cased"					,			revision="c841166438c31ec7ca9a106dee7bb312b73ae511"					,			)








import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


SCREAMING_SNAKE_CASE__       :			List[Any]			      =						"""sshleifer/bart-tiny-random"""
SCREAMING_SNAKE_CASE__       :			Tuple			      =						"""patrickvonplaten/t5-tiny-random"""







@require_torch
class   __lowerCAmelCase			(					unittest.TestCase  ):





   @cached_property
   def 	_snake_case ( self      )				->  List[Any]:
      """simple docstring"""





      return AutoConfig.from_pretrained(snake_case      )





   def 	_snake_case ( self      )				->  Any:
      """simple docstring"""





      a__		,     *a__	:						int      		=  create_student_by_copying_alternating_layers(snake_case					,			tempfile.mkdtemp()					,			e=1					,			d=1      )
      self.assertEqual(student.config.num_hidden_layers					,			1      )





   def 	_snake_case ( self      )				->  str:
      """simple docstring"""





      a__		,     *a__	:						int      		=  create_student_by_copying_alternating_layers(snake_case					,			tempfile.mkdtemp()					,			e=1					,			d=snake_case      )





   def 	_snake_case ( self      )				->  List[str]:
      """simple docstring"""





      a__		,     *a__	:						Any      		=  create_student_by_copying_alternating_layers(snake_case					,			tempfile.mkdtemp()					,			e=1					,			d=snake_case      )
      self.assertEqual(student.config.encoder_layers					,			1      )
      self.assertEqual(student.config.decoder_layers					,			self.teacher_config.encoder_layers      )





   def 	_snake_case ( self      )				->  Optional[int]:
      """simple docstring"""





      a__		,     *a__	:						List[str]      		=  create_student_by_copying_alternating_layers(snake_case					,			tempfile.mkdtemp()					,			e=1					,			d=1      )
      self.assertEqual(student.config.encoder_layers					,			1      )
      self.assertEqual(student.config.decoder_layers					,			1      )





   def 	_snake_case ( self      )				->  int:
      """simple docstring"""





      with self.assertRaises(snake_case      ):
         create_student_by_copying_alternating_layers(snake_case					,			tempfile.mkdtemp()					,			e=snake_case					,			d=snake_case      )

