import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
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			: int							   =		get_tests_dir('''fixtures/test_sentencepiece.model''')







@require_sentencepiece
@require_tokenizers
class __snake_case				(						lowerCamelCase_   ,		unittest.TestCase		):
   lowerCAmelCase_														=							XLMRobertaTokenizer
   lowerCAmelCase_														=							XLMRobertaTokenizerFast
   lowerCAmelCase_														=							True
   lowerCAmelCase_														=							True




   def 	__a						(    self			:				int      ):



     """simple docstring"""






     super().setUp()

     # We have a SentencePiece fixture for testing
     SCREAMING_SNAKE_CASE__										=      XLMRobertaTokenizer(_lowercase       ,	keep_accents=_lowercase      )
     tokenizer.save_pretrained(self.tmpdirname      )




   def 	__a						(    self			:				Union[str, Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """<pad>"""
     SCREAMING_SNAKE_CASE__										=      1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowercase      )       ,	_lowercase      )
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowercase      )       ,	_lowercase      )




   def 	__a						(    self			:				int      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      list(self.get_tokenizer().get_vocab().keys()      )

     self.assertEqual(vocab_keys[0]       ,	"""<s>"""      )
     self.assertEqual(vocab_keys[1]       ,	"""<pad>"""      )
     self.assertEqual(vocab_keys[-1]       ,	"""<mask>"""      )
     self.assertEqual(len(_lowercase      )       ,	10_02      )




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     self.assertEqual(self.get_tokenizer().vocab_size       ,	10_02      )




   def 	__a						(    self			:				Dict      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      XLMRobertaTokenizer(_lowercase       ,	keep_accents=_lowercase      )

     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize("""This is a test"""      )
     self.assertListEqual(_lowercase       ,	["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]      )

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(_lowercase      )       ,	[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]       ,	)

     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize("""I was born in 92000, and this is falsé."""      )
     self.assertListEqual(
         _lowercase       ,	[
             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""",
             """.""",
         ]       ,	)
     SCREAMING_SNAKE_CASE__										=      tokenizer.convert_tokens_to_ids(_lowercase      )
     self.assertListEqual(
         _lowercase       ,	[
             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]
             #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
         ]       ,	)

     SCREAMING_SNAKE_CASE__										=      tokenizer.convert_ids_to_tokens(_lowercase      )
     self.assertListEqual(
         _lowercase       ,	[
             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 	__a						(    self			:				Dict      ):



     """simple docstring"""






     if not self.test_slow_tokenizer:
       # as we don't have a slow version, we can't compare the outputs between slow and fast versions
       return

     SCREAMING_SNAKE_CASE__										=      (self.rust_tokenizer_class, """hf-internal-testing/tiny-xlm-roberta""", {})
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""      ):
         SCREAMING_SNAKE_CASE__										=      self.rust_tokenizer_class.from_pretrained(_lowercase       ,	**_lowercase      )
         SCREAMING_SNAKE_CASE__										=      self.tokenizer_class.from_pretrained(_lowercase       ,	**_lowercase      )

         SCREAMING_SNAKE_CASE__										=      tempfile.mkdtemp()

         SCREAMING_SNAKE_CASE__										=      tokenizer_r.save_pretrained(_lowercase      )
         SCREAMING_SNAKE_CASE__										=      tokenizer_p.save_pretrained(_lowercase      )

         # Checks it save with the same files + the tokenizer.json file for the fast one
         self.assertTrue(any("""tokenizer.json""" in f for f in tokenizer_r_files      )      )
         SCREAMING_SNAKE_CASE__										=      tuple(f for f in tokenizer_r_files if """tokenizer.json""" not in f      )
         self.assertSequenceEqual(_lowercase       ,	_lowercase      )

         # Checks everything loads correctly in the same way
         SCREAMING_SNAKE_CASE__										=      tokenizer_r.from_pretrained(_lowercase      )
         SCREAMING_SNAKE_CASE__										=      tokenizer_p.from_pretrained(_lowercase      )

         # Check special tokens are set accordingly on Rust and Python
         for key in tokenizer_pp.special_tokens_map:
           self.assertTrue(hasattr(_lowercase       ,	_lowercase      )      )
           # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
           # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

         shutil.rmtree(_lowercase      )

         # Save tokenizer rust, legacy_format=True
         SCREAMING_SNAKE_CASE__										=      tempfile.mkdtemp()

         SCREAMING_SNAKE_CASE__										=      tokenizer_r.save_pretrained(_lowercase       ,	legacy_format=_lowercase      )
         SCREAMING_SNAKE_CASE__										=      tokenizer_p.save_pretrained(_lowercase      )

         # Checks it save with the same files
         self.assertSequenceEqual(_lowercase       ,	_lowercase      )

         # Checks everything loads correctly in the same way
         SCREAMING_SNAKE_CASE__										=      tokenizer_r.from_pretrained(_lowercase      )
         SCREAMING_SNAKE_CASE__										=      tokenizer_p.from_pretrained(_lowercase      )

         # Check special tokens are set accordingly on Rust and Python
         for key in tokenizer_pp.special_tokens_map:
           self.assertTrue(hasattr(_lowercase       ,	_lowercase      )      )

         shutil.rmtree(_lowercase      )

         # Save tokenizer rust, legacy_format=False
         SCREAMING_SNAKE_CASE__										=      tempfile.mkdtemp()

         SCREAMING_SNAKE_CASE__										=      tokenizer_r.save_pretrained(_lowercase       ,	legacy_format=_lowercase      )
         SCREAMING_SNAKE_CASE__										=      tokenizer_p.save_pretrained(_lowercase      )

         # Checks it saved the tokenizer.json file
         self.assertTrue(any("""tokenizer.json""" in f for f in tokenizer_r_files      )      )

         # Checks everything loads correctly in the same way
         SCREAMING_SNAKE_CASE__										=      tokenizer_r.from_pretrained(_lowercase      )
         SCREAMING_SNAKE_CASE__										=      tokenizer_p.from_pretrained(_lowercase      )

         # Check special tokens are set accordingly on Rust and Python
         for key in tokenizer_pp.special_tokens_map:
           self.assertTrue(hasattr(_lowercase       ,	_lowercase      )      )

         shutil.rmtree(_lowercase      )




   @cached_property
   def 	__a						(    self			:				Optional[Any]      ):



     """simple docstring"""






     return XLMRobertaTokenizer.from_pretrained("""xlm-roberta-base"""      )




   def 	__a						(    self			:				List[str]      ):



     """simple docstring"""






     with tempfile.NamedTemporaryFile() as f:
       shutil.copyfile(_lowercase       ,	f.name      )
       SCREAMING_SNAKE_CASE__										=      XLMRobertaTokenizer(f.name       ,	keep_accents=_lowercase      )
       SCREAMING_SNAKE_CASE__										=      pickle.dumps(_lowercase      )
     pickle.loads(_lowercase      )




   def 	__a						(    self			:				Dict      ):



     """simple docstring"""






     if not self.test_rust_tokenizer:
       return

     SCREAMING_SNAKE_CASE__										=      self.get_tokenizer()
     SCREAMING_SNAKE_CASE__										=      self.get_rust_tokenizer()

     SCREAMING_SNAKE_CASE__										=      """I was born in 92000, and this is falsé."""

     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize(_lowercase      )
     SCREAMING_SNAKE_CASE__										=      rust_tokenizer.tokenize(_lowercase      )
     self.assertListEqual(_lowercase       ,	_lowercase      )

     SCREAMING_SNAKE_CASE__										=      tokenizer.encode(_lowercase       ,	add_special_tokens=_lowercase      )
     SCREAMING_SNAKE_CASE__										=      rust_tokenizer.encode(_lowercase       ,	add_special_tokens=_lowercase      )
     self.assertListEqual(_lowercase       ,	_lowercase      )

     SCREAMING_SNAKE_CASE__										=      self.get_rust_tokenizer()
     SCREAMING_SNAKE_CASE__										=      tokenizer.encode(_lowercase      )
     SCREAMING_SNAKE_CASE__										=      rust_tokenizer.encode(_lowercase      )
     self.assertListEqual(_lowercase       ,	_lowercase      )




   @slow
   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """Hello World!"""
     SCREAMING_SNAKE_CASE__										=      [0, 3_53_78, 66_61, 38, 2]
     # xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
     # xlmr.eval()
     # xlmr.encode(symbols)

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




   @slow
   def 	__a						(    self			:				Tuple      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      (
         """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"""
     )
     SCREAMING_SNAKE_CASE__										=      [
         0,
         32_93,
         83,
         10,
         45_52,
         49_89,
         79_86,
         6_78,
         10,
         59_15,
         1_11,
         17_94_59,
         12_48_50,
         4,
         60_44,
         2_37,
         12,
         6,
         5,
         6,
         4,
         67_80,
         7_05,
         15,
         13_88,
         44,
         3_78,
         1_01_14,
         7_11,
         1_52,
         20,
         6,
         5,
         2_23_76,
         6_42,
         12_21,
         1_51_90,
         3_41_53,
         4_50,
         56_08,
         9_59,
         11_19,
         5_77_02,
         1_36,
         1_86,
         47,
         10_98,
         2_93_67,
         47,
         # 4426, # What fairseq tokenizes from "<unk>": "_<"
         # 3678, # What fairseq tokenizes from "<unk>": "unk"
         # 2740, # What fairseq tokenizes from "<unk>": ">"
         3,  # What we tokenize from "<unk>": "<unk>"
         6,  # Residue from the tokenization: an extra sentencepiece underline
         4,
         60_44,
         2_37,
         62_84,
         5_09_01,
         5_28,
         31,
         90,
         34,
         9_27,
         2,
     ]
     # xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
     # xlmr.eval()
     # xlmr.encode(symbols)

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




   @slow
   def 	__a						(    self			:				Union[str, Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      {"""input_ids""": [[0, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [0, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], """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, 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, 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]]}  # noqa: E501
     # fmt: on

     self.tokenizer_integration_test_util(
         expected_encoding=_lowercase       ,	model_name="""xlm-roberta-base"""       ,	revision="""d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3"""       ,	)

import socket



def 	__SCREAMING_SNAKE_CASE  (					)							->					Optional[int]:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__										=      socket.socket(socket.AF_INET ,     socket.SOCK_STREAM	)
  SCREAMING_SNAKE_CASE__										=      socket.gethostname()
  SCREAMING_SNAKE_CASE__										=      1_23_12

  sock.connect((host, port)	)
  sock.send(B"""Hello server!"""	)

  with open("""Received_file""" ,     """wb"""	) as out_file:
    print("""File opened"""	)
    print("""Receiving data..."""	)
    while True:
      SCREAMING_SNAKE_CASE__										=      sock.recv(10_24	)
      if not data:
        break
      out_file.write(__UpperCamelCase	)

  print("""Successfully received the file"""	)
  sock.close()
  print("""Connection closed"""	)


if __name__ == "__main__":
   main()
