





import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class      lowerCAmelCase							(      __UpperCamelCase,						unittest.TestCase    ):
 UpperCAmelCase__									=	BarthezTokenizer
 UpperCAmelCase__									=	BarthezTokenizerFast
 UpperCAmelCase__									=	True
 UpperCAmelCase__									=	True
 def   A_			(   self						:   Optional[Any]			)    ->			Dict:
     super().setUp()

     lowerCamelCase__					:   Any      				=	BarthezTokenizerFast.from_pretrained('moussaKam/mbarthez'			)
     tokenizer.save_pretrained(self.tmpdirname			)
     tokenizer.save_pretrained(self.tmpdirname    ,  legacy_format=UpperCAmelCase			)
     lowerCamelCase__					:   Tuple      				=	tokenizer
 def   A_			(   self						:   int			)    ->			List[str]:
     lowerCamelCase__					:   Dict      				=	'<pad>'
     lowerCamelCase__					:   Optional[int]      				=	1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase			)    ,  UpperCAmelCase			)
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase			)    ,  UpperCAmelCase			)
 def   A_			(   self						:   Dict			)    ->			str:
     lowerCamelCase__					:   Dict      				=	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(UpperCAmelCase			)    ,  101122			)
 def   A_			(   self						:   str			)    ->			List[str]:
     self.assertEqual(self.get_tokenizer().vocab_size    ,  101122			)
 @require_torch
 def   A_			(   self						:   Any			)    ->			Optional[Any]:
     lowerCamelCase__					:   Optional[Any]      				=	['A long paragraph for summarization.', 'Another paragraph for summarization.']
     lowerCamelCase__					:   str      				=	[0, 57, 3018, 70307, 91, 2]

     lowerCamelCase__					:   List[Any]      				=	self.tokenizer(
         UpperCAmelCase    ,  max_length=len(UpperCAmelCase			)    ,  padding=UpperCAmelCase    ,  truncation=UpperCAmelCase    ,  return_tensors='pt'			)
     self.assertIsInstance(UpperCAmelCase    ,  UpperCAmelCase			)

     self.assertEqual((2, 6)    ,  batch.input_ids.shape			)
     self.assertEqual((2, 6)    ,  batch.attention_mask.shape			)
     lowerCamelCase__					:   str      				=	batch.input_ids.tolist()[0]
     self.assertListEqual(UpperCAmelCase    ,  UpperCAmelCase			)
 def   A_			(   self						:   Any			)    ->			Dict:
     if not self.test_rust_tokenizer:
         return

     lowerCamelCase__					:   Dict      				=	self.get_tokenizer()
     lowerCamelCase__					:   Optional[Any]      				=	self.get_rust_tokenizer()

     lowerCamelCase__					:   int      				=	'I was born in 92000, and this is falsé.'

     lowerCamelCase__					:   Dict      				=	tokenizer.tokenize(UpperCAmelCase			)
     lowerCamelCase__					:   Dict      				=	rust_tokenizer.tokenize(UpperCAmelCase			)
     self.assertListEqual(UpperCAmelCase    ,  UpperCAmelCase			)

     lowerCamelCase__					:   Dict      				=	tokenizer.encode(UpperCAmelCase    ,  add_special_tokens=UpperCAmelCase			)
     lowerCamelCase__					:   List[str]      				=	rust_tokenizer.encode(UpperCAmelCase    ,  add_special_tokens=UpperCAmelCase			)
     self.assertListEqual(UpperCAmelCase    ,  UpperCAmelCase			)

     lowerCamelCase__					:   Optional[Any]      				=	self.get_rust_tokenizer()
     lowerCamelCase__					:   List[Any]      				=	tokenizer.encode(UpperCAmelCase			)
     lowerCamelCase__					:   Any      				=	rust_tokenizer.encode(UpperCAmelCase			)
     self.assertListEqual(UpperCAmelCase    ,  UpperCAmelCase			)







 @slow
 def   A_			(   self						:   Optional[Any]			)    ->			Any:
     # fmt: off
     lowerCamelCase__					:   str      				=	{'input_ids': [[0, 490, 14328, 4507, 354, 47, 43669, 95, 25, 78117, 20215, 19779, 190, 22, 400, 4, 35343, 80310, 603, 86, 24937, 105, 33438, 94762, 196, 39642, 7, 15, 15933, 173, 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], [0, 10534, 87, 25, 66, 3358, 196, 55289, 8, 82961, 81, 2204, 75203, 7, 15, 763, 12956, 216, 178, 14328, 9595, 1377, 69693, 7, 448, 71021, 196, 18106, 1437, 13974, 108, 9083, 4, 49315, 7, 39, 86, 1326, 2793, 46333, 4, 448, 196, 74588, 7, 49315, 7, 39, 21, 822, 38470, 74, 21, 66723, 62480, 8, 22050, 5, 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, 0, 0, 0, 0, 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, 1, 1, 1, 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

     # moussaKam/mbarthez is a french model. So we also use french texts.
     lowerCamelCase__					:   str      				=	[
         'Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '
         'utilisé principalement dans le domaine du traitement automatique des langues (TAL).',
         'À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '
         'pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '
         'telles que la traduction et la synthèse de texte.',
     ]

     self.tokenizer_integration_test_util(
         expected_encoding=UpperCAmelCase    ,  model_name='moussaKam/mbarthez'    ,  revision='c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'    ,  sequences=UpperCAmelCase    ,  )












import socket


def  SCREAMING_SNAKE_CASE   ( )    ->  Any:
    lowerCamelCase__					:   int      				=	socket.socket(socket.AF_INET		,			socket.SOCK_STREAM				)
    lowerCamelCase__					:   Optional[int]      				=	socket.gethostname()
    lowerCamelCase__					:   Optional[int]      				=	1_2312

    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:
            lowerCamelCase__					:   str      				=	sock.recv(1024				)
            if not data:
                break
            out_file.write(_UpperCAmelCase				)

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


if __name__ == "__main__":
    main()





