
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


lowerCamelCase__     :		Optional[int]        = get_tests_dir("""fixtures/test_sentencepiece.model""")



@require_sentencepiece
@require_tokenizers
class    _snake_case (						lowerCAmelCase__	,    unittest.TestCase				):
 __lowerCAmelCase	:  Optional[int]	   =      XGLMTokenizer
 __lowerCAmelCase	:  int	   =      XGLMTokenizerFast
 __lowerCAmelCase	:  int	   =      True
 __lowerCAmelCase	:  Any	   =      True


 def   lowercase__  (       self):


   '''simple docstring'''




   super().setUp()

   # We have a SentencePiece fixture for testing
   lowercase__	: Optional[int]     		=   XGLMTokenizer(_lowerCamelCase       ,	keep_accents=_lowerCamelCase)
   tokenizer.save_pretrained(self.tmpdirname)


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[Any]     		=   """<pad>"""
   lowercase__	: List[Any]     		=   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):


   '''simple docstring'''




   lowercase__	: Dict     		=   list(self.get_tokenizer().get_vocab().keys())

   self.assertEqual(vocab_keys[0]       ,	"""<s>""")
   self.assertEqual(vocab_keys[1]       ,	"""<pad>""")
   self.assertEqual(len(_lowerCamelCase)       ,	10_08)


 def   lowercase__  (       self):


   '''simple docstring'''




   self.assertEqual(self.get_tokenizer().vocab_size       ,	10_08)


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: int     		=   XGLMTokenizer(_lowerCamelCase       ,	keep_accents=_lowerCamelCase)

   lowercase__	: str     		=   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 [2_85, 46, 10, 1_70, 3_82]]       ,	)

   lowercase__	: Dict     		=   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""",
           """.""",
       ]       ,	)
   lowercase__	: Optional[Any]     		=   tokenizer.convert_tokens_to_ids(_lowerCamelCase)
   self.assertListEqual(
       _lowerCamelCase       ,	[
           value + tokenizer.fairseq_offset
           for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
       ]       ,	)

   lowercase__	: Optional[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>""",
           """.""",
       ]       ,	)


 @cached_property
 def   lowercase__  (       self):


   '''simple docstring'''




   return XGLMTokenizer.from_pretrained("""facebook/xglm-564M""")


 def   lowercase__  (       self):


   '''simple docstring'''




   with tempfile.NamedTemporaryFile() as f:
     shutil.copyfile(_lowerCamelCase       ,	f.name)
     lowercase__	: Optional[Any]     		=   XGLMTokenizer(f.name       ,	keep_accents=_lowerCamelCase)
     lowercase__	: int     		=   pickle.dumps(_lowerCamelCase)
   pickle.loads(_lowerCamelCase)


 def   lowercase__  (       self):


   '''simple docstring'''




   if not self.test_rust_tokenizer:
     return

   lowercase__	: List[Any]     		=   self.get_tokenizer()
   lowercase__	: Optional[int]     		=   self.get_rust_tokenizer()

   lowercase__	: Dict     		=   """I was born in 92000, and this is falsé."""

   lowercase__	: Any     		=   tokenizer.tokenize(_lowerCamelCase)
   lowercase__	: List[Any]     		=   rust_tokenizer.tokenize(_lowerCamelCase)
   self.assertListEqual(_lowerCamelCase       ,	_lowerCamelCase)

   lowercase__	: Any     		=   tokenizer.encode(_lowerCamelCase       ,	add_special_tokens=_lowerCamelCase)
   lowercase__	: List[Any]     		=   rust_tokenizer.encode(_lowerCamelCase       ,	add_special_tokens=_lowerCamelCase)
   self.assertListEqual(_lowerCamelCase       ,	_lowerCamelCase)

   lowercase__	: Tuple     		=   self.get_rust_tokenizer()
   lowercase__	: Optional[Any]     		=   tokenizer.encode(_lowerCamelCase)
   lowercase__	: List[str]     		=   rust_tokenizer.encode(_lowerCamelCase)
   self.assertListEqual(_lowerCamelCase       ,	_lowerCamelCase)


 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Tuple     		=   """Hello World!"""
   lowercase__	: Dict     		=   [2, 3_12_27, 44_47, 35]

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


 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: List[str]     		=   (
       """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
   lowercase__	: Union[str, Any]     		=   [2, 10_18, 67, 11, 19_88, 26_17, 56_31, 2_78, 11, 34_07, 48, 7_16_30, 2_80_85, 4, 32_34, 1_57, 13, 6, 5, 6, 4, 35_26, 7_68, 15, 6_59, 57, 2_98, 39_83, 8_64, 1_29, 21, 6, 5, 1_36_75, 3_77, 6_52, 75_80, 1_03_41, 1_55, 28_17, 4_22, 16_66, 7, 16_74, 53, 1_13, 20_22_77, 1_78_92, 33, 60, 87, 4, 32_34, 1_57, 61, 26_67, 5_23_76, 19, 88, 23, 7_35]
   # fmt: on

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



 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: int     		=   {
       """input_ids""": [[2, 10_88_25, 11_63, 15, 8_80_10, 4_73, 1_58_98, 1_57, 1_36_72, 18_57, 3_12, 8, 23_80_21, 11_63, 53, 1_36_72, 18_57, 3_12, 8, 5_32_83, 18_23_96, 8, 1_85_66, 16, 3_67_33, 41_01, 8, 2_30, 24_40_17, 12_25_53, 7, 15, 13_25_97, 4, 2_93, 1_25_11, 76_10, 4, 34_14, 13_25_97, 9, 4, 3_23_61, 3_62, 4, 7_34, 2_85_12, 3_25_69, 18, 4, 3_23_61, 2_60_96, 1_49_82, 73, 1_87_15, 2_14_33, 23_52_61, 15, 4_92, 1_24_27, 16, 53, 1_87_15, 2_14_33, 6_54_54, 15, 2_36_59, 5_63, 16, 2_78, 5_97, 28_43, 5_95, 79_31, 18_23_96, 6_41_86, 22, 8_86, 5_95, 13_29_81, 53, 2_55_40, 34_49, 4_39_82, 3_99_01, 59_51, 8_78, 3_30, 4, 2_76_94, 8_02_69, 3_12, 53, 65_17, 1_17_80, 6_11, 2_04_08, 5], [2, 6, 13_25_97, 67, 4_28_97, 33, 5_92, 8, 16_37_29, 2_55_40, 3_61, 13_69_97, 10_95_14, 17_32_30, 7, 5_01, 60, 10_29_13, 1_96, 56_31, 2_35, 6_32_43, 4_73, 6, 23_17_57, 74, 52_77, 79_05, 53, 30_95, 3_73_17, 22, 4_54, 18_38_74, 5], [2, 2_68, 3_12_98, 4_65_30, 6, 13_29_35, 4_38_31, 7, 5_97, 32, 24, 36_88, 98_65, 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       ,	)









"""simple docstring"""
import unittest

import numpy as np
import torch

from .utils_summarization import build_mask, compute_token_type_ids, process_story, truncate_or_pad

class       lowerCamelCase	(       unittest.TestCase   ):


  '''simple docstring'''







  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    10



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    [1, 2, 3, 4]
        UpperCAmelCase__			:							Tuple							=    [1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
        self.assertEqual(truncate_or_pad(_lowerCamelCase							,       self.block_size							,       0	)							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[int]							=    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        UpperCAmelCase__			:							Tuple							=    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        self.assertEqual(truncate_or_pad(_lowerCamelCase							,       self.block_size							,       0	)							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Tuple							=    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
        UpperCAmelCase__			:							Dict							=    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        self.assertEqual(truncate_or_pad(_lowerCamelCase							,       self.block_size							,       0	)							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Any							=    """It was the year of Our Lord one thousand seven hundred and
        seventy-five.\n\nSpiritual revelations were conceded to England at that
        favoured period, as at this."""
        UpperCAmelCase__					,		UpperCAmelCase__			:							Any							=    process_story(_lowerCamelCase	)
        self.assertEqual(_lowerCamelCase							,       []	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							str							=    """"""
        UpperCAmelCase__					,		UpperCAmelCase__			:							List[Any]							=    process_story(_lowerCamelCase	)
        self.assertEqual(_lowerCamelCase							,       []	)
        self.assertEqual(_lowerCamelCase							,       []	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[Any]							=    (
            """It was the year of Our Lord one thousand seven hundred and """
            """seventy-five\n\nSpiritual revelations were conceded to England """
            """at that favoured period, as at this.\n@highlight\n\nIt was the best of times"""
        )
        UpperCAmelCase__					,		UpperCAmelCase__			:							Optional[Any]							=    process_story(_lowerCamelCase	)

        UpperCAmelCase__			:							List[Any]							=    [
            """It was the year of Our Lord one thousand seven hundred and seventy-five.""",
            """Spiritual revelations were conceded to England at that favoured period, as at this.""",
        ]
        self.assertEqual(_lowerCamelCase							,       _lowerCamelCase	)

        UpperCAmelCase__			:							List[Any]							=    ["""It was the best of times."""]
        self.assertEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							str							=    torch.tensor([1, 2, 3, 4]	)
        UpperCAmelCase__			:							str							=    torch.tensor([1, 1, 1, 1]	)
        np.testing.assert_array_equal(build_mask(_lowerCamelCase							,       0	).numpy()							,       expected.numpy()	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    torch.tensor([1, 2, 3, 4, 23, 23, 23]	)
        UpperCAmelCase__			:							Union[str, Any]							=    torch.tensor([1, 1, 1, 1, 0, 0, 0]	)
        np.testing.assert_array_equal(build_mask(_lowerCamelCase							,       23	).numpy()							,       expected.numpy()	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[Any]							=    torch.tensor([8, 2, 3, 4, 1, 1, 1]	)
        UpperCAmelCase__			:							Any							=    torch.tensor([1, 1, 1, 1, 0, 0, 0]	)
        np.testing.assert_array_equal(build_mask(_lowerCamelCase							,       1	).numpy()							,       expected.numpy()	)




  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Any							=    101
        UpperCAmelCase__			:							Dict							=    torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 101, 5, 6], [1, 101, 3, 4, 101, 6]]	)
        UpperCAmelCase__			:							Optional[Any]							=    torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]]	)

        UpperCAmelCase__			:							int							=    compute_token_type_ids(_lowerCamelCase							,       _lowerCamelCase	)
        np.testing.assert_array_equal(_lowerCamelCase							,       _lowerCamelCase	)

