






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


__a:     List[str]   					=					get_tests_dir('''fixtures/test_sentencepiece.model''')
@require_sentencepiece
@require_tokenizers
class 		SCREAMING_SNAKE_CASE__	(  __lowercase					,      unittest.TestCase     ):

  '''simple docstring'''







  _lowerCamelCase    =  XGLMTokenizer
  _lowerCamelCase    =  XGLMTokenizerFast
  _lowerCamelCase    =  True
  _lowerCamelCase    =  True


  def  lowerCamelCase       (      self		:			Union[str, Any]							)						->	List[str]:


         """simple docstring"""
         super().setUp()

         # We have a SentencePiece fixture for testing
         _UpperCAmelCase							=    XGLMTokenizer(_lowerCAmelCase       ,				keep_accents=_lowerCAmelCase							)
         tokenizer.save_pretrained(self.tmpdirname							)


  def  lowerCamelCase       (      self		:			Any							)						->	str:


         """simple docstring"""
         _UpperCAmelCase							=    '''<pad>'''
         _UpperCAmelCase							=    1

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


  def  lowerCamelCase       (      self		:			Dict							)						->	List[str]:


         """simple docstring"""
         _UpperCAmelCase							=    list(self.get_tokenizer().get_vocab().keys()							)

         self.assertEqual(vocab_keys[0]       ,				"""<s>"""							)
         self.assertEqual(vocab_keys[1]       ,				"""<pad>"""							)
         self.assertEqual(len(_lowerCAmelCase							)       ,				1008							)


  def  lowerCamelCase       (      self		:			Any							)						->	Optional[Any]:


         """simple docstring"""
         self.assertEqual(self.get_tokenizer().vocab_size       ,				1008							)


  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	int:


         """simple docstring"""
         _UpperCAmelCase							=    XGLMTokenizer(_lowerCAmelCase       ,				keep_accents=_lowerCAmelCase							)

         _UpperCAmelCase							=    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 [285, 46, 10, 170, 382]]       ,				)

         _UpperCAmelCase							=    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""",
                 """.""",
             ]       ,				)
         _UpperCAmelCase							=    tokenizer.convert_tokens_to_ids(_lowerCAmelCase							)
         self.assertListEqual(
             _lowerCAmelCase       ,				[
                 value + tokenizer.fairseq_offset
                 for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
             ]       ,				)

         _UpperCAmelCase							=    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  lowerCamelCase       (      self		:			List[str]							)						->	str:


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


  def  lowerCamelCase       (      self		:			Optional[int]							)						->	List[str]:


         """simple docstring"""




         with tempfile.NamedTemporaryFile() as f:
                shutil.copyfile(_lowerCAmelCase       ,				f.name							)
                _UpperCAmelCase							=    XGLMTokenizer(f.name       ,				keep_accents=_lowerCAmelCase							)
                _UpperCAmelCase							=    pickle.dumps(_lowerCAmelCase							)
         pickle.loads(_lowerCAmelCase							)


  def  lowerCamelCase       (      self		:			Tuple							)						->	Tuple:


         """simple docstring"""




         if not self.test_rust_tokenizer:
                return

         _UpperCAmelCase							=    self.get_tokenizer()
         _UpperCAmelCase							=    self.get_rust_tokenizer()

         _UpperCAmelCase							=    '''I was born in 92000, and this is falsé.'''

         _UpperCAmelCase							=    tokenizer.tokenize(_lowerCAmelCase							)
         _UpperCAmelCase							=    rust_tokenizer.tokenize(_lowerCAmelCase							)
         self.assertListEqual(_lowerCAmelCase       ,				_lowerCAmelCase							)

         _UpperCAmelCase							=    tokenizer.encode(_lowerCAmelCase       ,				add_special_tokens=_lowerCAmelCase							)
         _UpperCAmelCase							=    rust_tokenizer.encode(_lowerCAmelCase       ,				add_special_tokens=_lowerCAmelCase							)
         self.assertListEqual(_lowerCAmelCase       ,				_lowerCAmelCase							)

         _UpperCAmelCase							=    self.get_rust_tokenizer()
         _UpperCAmelCase							=    tokenizer.encode(_lowerCAmelCase							)
         _UpperCAmelCase							=    rust_tokenizer.encode(_lowerCAmelCase							)
         self.assertListEqual(_lowerCAmelCase       ,				_lowerCAmelCase							)


  @slow
  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	Optional[Any]:


         """simple docstring"""
         _UpperCAmelCase							=    '''Hello World!'''
         _UpperCAmelCase							=    [2, 3_1227, 4447, 35]

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


  @slow
  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	Tuple:


         """simple docstring"""
         _UpperCAmelCase							=    (
             '''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
         _UpperCAmelCase							=    [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 7_1630, 2_8085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 1_3675, 377, 652, 7580, 1_0341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 20_2277, 1_7892, 33, 60, 87, 4, 3234, 157, 61, 2667, 5_2376, 19, 88, 23, 735]
         # fmt: on

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





  @slow
  def  lowerCamelCase       (      self		:			Dict							)						->	int:


         """simple docstring"""
         _UpperCAmelCase							=    {
             '''input_ids''': [[2, 10_8825, 1163, 15, 8_8010, 473, 1_5898, 157, 1_3672, 1857, 312, 8, 23_8021, 1163, 53, 1_3672, 1857, 312, 8, 5_3283, 18_2396, 8, 1_8566, 16, 3_6733, 4101, 8, 230, 24_4017, 12_2553, 7, 15, 13_2597, 4, 293, 1_2511, 7610, 4, 3414, 13_2597, 9, 4, 3_2361, 362, 4, 734, 2_8512, 3_2569, 18, 4, 3_2361, 2_6096, 1_4982, 73, 1_8715, 2_1433, 23_5261, 15, 492, 1_2427, 16, 53, 1_8715, 2_1433, 6_5454, 15, 2_3659, 563, 16, 278, 597, 2843, 595, 7931, 18_2396, 6_4186, 22, 886, 595, 13_2981, 53, 2_5540, 3449, 4_3982, 3_9901, 5951, 878, 330, 4, 2_7694, 8_0269, 312, 53, 6517, 1_1780, 611, 2_0408, 5], [2, 6, 13_2597, 67, 4_2897, 33, 592, 8, 16_3729, 2_5540, 361, 13_6997, 10_9514, 17_3230, 7, 501, 60, 10_2913, 196, 5631, 235, 6_3243, 473, 6, 23_1757, 74, 5277, 7905, 53, 3095, 3_7317, 22, 454, 18_3874, 5], [2, 268, 3_1298, 4_6530, 6, 13_2935, 4_3831, 7, 597, 32, 24, 3688, 9865, 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       ,				)






import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict





@dataclass
class 				a			(      __lowercase			):
				SCREAMING_SNAKE_CASE__     :   Any		      =     ComputeEnvironment.AMAZON_SAGEMAKER
				SCREAMING_SNAKE_CASE__     :   Optional[int]		      =     True
				SCREAMING_SNAKE_CASE__     :   int		      =     '''ml.p3.2xlarge'''
				SCREAMING_SNAKE_CASE__     :   Union[str, Any]		      =     '''accelerate_sagemaker_execution_role'''
				SCREAMING_SNAKE_CASE__     :   List[Any]		      =     '''hf-sm'''
				SCREAMING_SNAKE_CASE__     :   Any		      =     '''us-east-1'''
				SCREAMING_SNAKE_CASE__     :   Any		      =     1
				SCREAMING_SNAKE_CASE__     :   Dict		      =     '''accelerate-sagemaker-1'''
				SCREAMING_SNAKE_CASE__     :   Dict		      =     '''1.6'''
				SCREAMING_SNAKE_CASE__     :   int		      =     '''4.4'''
				SCREAMING_SNAKE_CASE__     :   int		      =     '''train.py'''
				SCREAMING_SNAKE_CASE__     :   Tuple		      =     [
				    '''--model_name_or_path''',
				    '''bert''',
				    '''--do_train''',
				    '''False''',
				    '''--epochs''',
				    '''3''',
				    '''--learning_rate''',
				    '''5e-5''',
				    '''--max_steps''',
				    '''50.5''',
				]
				SCREAMING_SNAKE_CASE__     :   List[str]		      =     [
				    '''--model_name_or_path''',
				    '''bert''',
				    '''--do_train''',
				    '''--do_test''',
				    '''False''',
				    '''--do_predict''',
				    '''--epochs''',
				    '''3''',
				    '''--learning_rate''',
				    '''5e-5''',
				    '''--max_steps''',
				    '''50.5''',
				]





class 				a			(      unittest.TestCase			):






				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args					)
										assert isinstance(converted_args['''model_name_or_path''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''do_train''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''epochs''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''learning_rate''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''max_steps''']			, _lowerCAmelCase					)

										with pytest.raises(_lowerCAmelCase					):
																_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args					)



