
'''simple docstring'''


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


snake_case_ :  List[str]     =					get_tests_dir('fixtures/test_sentencepiece.model')


@require_sentencepiece
@require_tokenizers
class 						lowercase__	(  SCREAMING_SNAKE_CASE__,					unittest.TestCase   ):






   '''simple docstring'''







   _snake_case		   =							XGLMTokenizer
   _snake_case		   =							XGLMTokenizerFast
   _snake_case		   =							True
   _snake_case		   =							True







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      super().setUp()

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







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  """<pad>"""
      UpperCamelCase       =  1

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







   def       UpperCAmelCase				(			self   ):

      '''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(_lowercase   ) ,   1_0_0_8   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      self.assertEqual(self.get_tokenizer().vocab_size ,   1_0_0_8   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  XGLMTokenizer(_lowercase ,   keep_accents=_lowercase   )

      UpperCamelCase       =  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_8_5, 4_6, 1_0, 1_7_0, 3_8_2]] ,   )

      UpperCamelCase       =  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''',
              '''.''',
          ] ,   )
      UpperCamelCase       =  tokenizer.convert_tokens_to_ids(_lowercase   )
      self.assertListEqual(
          _lowercase ,   [
              value + tokenizer.fairseq_offset
              for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
          ] ,   )

      UpperCamelCase       =  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>''',
              '''.''',
          ] ,   )







   @cached_property
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







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







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







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







   def       UpperCAmelCase				(			self   ):

      '''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(_lowercase   )
      UpperCamelCase       =  rust_tokenizer.tokenize(_lowercase   )
      self.assertListEqual(_lowercase ,   _lowercase   )

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

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







   @slow
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  """Hello World!"""
      UpperCamelCase       =  [2, 3_1_2_2_7, 4_4_4_7, 3_5]

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







   @slow
   def       UpperCAmelCase				(			self   ):

      '''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, 1_0_1_8, 6_7, 1_1, 1_9_8_8, 2_6_1_7, 5_6_3_1, 2_7_8, 1_1, 3_4_0_7, 4_8, 7_1_6_3_0, 2_8_0_8_5, 4, 3_2_3_4, 1_5_7, 1_3, 6, 5, 6, 4, 3_5_2_6, 7_6_8, 1_5, 6_5_9, 5_7, 2_9_8, 3_9_8_3, 8_6_4, 1_2_9, 2_1, 6, 5, 1_3_6_7_5, 3_7_7, 6_5_2, 7_5_8_0, 1_0_3_4_1, 1_5_5, 2_8_1_7, 4_2_2, 1_6_6_6, 7, 1_6_7_4, 5_3, 1_1_3, 2_0_2_2_7_7, 1_7_8_9_2, 3_3, 6_0, 8_7, 4, 3_2_3_4, 1_5_7, 6_1, 2_6_6_7, 5_2_3_7_6, 1_9, 8_8, 2_3, 7_3_5]
      # fmt: on

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







   @slow
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  {
          """input_ids""": [[2, 1_0_8_8_2_5, 1_1_6_3, 1_5, 8_8_0_1_0, 4_7_3, 1_5_8_9_8, 1_5_7, 1_3_6_7_2, 1_8_5_7, 3_1_2, 8, 2_3_8_0_2_1, 1_1_6_3, 5_3, 1_3_6_7_2, 1_8_5_7, 3_1_2, 8, 5_3_2_8_3, 1_8_2_3_9_6, 8, 1_8_5_6_6, 1_6, 3_6_7_3_3, 4_1_0_1, 8, 2_3_0, 2_4_4_0_1_7, 1_2_2_5_5_3, 7, 1_5, 1_3_2_5_9_7, 4, 2_9_3, 1_2_5_1_1, 7_6_1_0, 4, 3_4_1_4, 1_3_2_5_9_7, 9, 4, 3_2_3_6_1, 3_6_2, 4, 7_3_4, 2_8_5_1_2, 3_2_5_6_9, 1_8, 4, 3_2_3_6_1, 2_6_0_9_6, 1_4_9_8_2, 7_3, 1_8_7_1_5, 2_1_4_3_3, 2_3_5_2_6_1, 1_5, 4_9_2, 1_2_4_2_7, 1_6, 5_3, 1_8_7_1_5, 2_1_4_3_3, 6_5_4_5_4, 1_5, 2_3_6_5_9, 5_6_3, 1_6, 2_7_8, 5_9_7, 2_8_4_3, 5_9_5, 7_9_3_1, 1_8_2_3_9_6, 6_4_1_8_6, 2_2, 8_8_6, 5_9_5, 1_3_2_9_8_1, 5_3, 2_5_5_4_0, 3_4_4_9, 4_3_9_8_2, 3_9_9_0_1, 5_9_5_1, 8_7_8, 3_3_0, 4, 2_7_6_9_4, 8_0_2_6_9, 3_1_2, 5_3, 6_5_1_7, 1_1_7_8_0, 6_1_1, 2_0_4_0_8, 5], [2, 6, 1_3_2_5_9_7, 6_7, 4_2_8_9_7, 3_3, 5_9_2, 8, 1_6_3_7_2_9, 2_5_5_4_0, 3_6_1, 1_3_6_9_9_7, 1_0_9_5_1_4, 1_7_3_2_3_0, 7, 5_0_1, 6_0, 1_0_2_9_1_3, 1_9_6, 5_6_3_1, 2_3_5, 6_3_2_4_3, 4_7_3, 6, 2_3_1_7_5_7, 7_4, 5_2_7_7, 7_9_0_5, 5_3, 3_0_9_5, 3_7_3_1_7, 2_2, 4_5_4, 1_8_3_8_7_4, 5], [2, 2_6_8, 3_1_2_9_8, 4_6_5_3_0, 6, 1_3_2_9_3_5, 4_3_8_3_1, 7, 5_9_7, 3_2, 2_4, 3_6_8_8, 9_8_6_5, 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=_lowercase ,   model_name='''facebook/xglm-564M''' ,   padding=_lowercase ,   )







'''simple docstring'''


import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp



def  __snake_case     (    ):
   UpperCamelCase       =  ArgumentParser(
       description=(
           '''PyTorch TPU distributed training launch '''
           '''helper utility that will spawn up '''
           '''multiple distributed processes'''
       ))

   # Optional arguments for the launch helper
   parser.add_argument('''--num_cores''',      type=_UpperCAmelCase,      default=1,      help='''Number of TPU cores to use (1 or 8).''')

   # positional
   parser.add_argument(
       '''training_script''',      type=_UpperCAmelCase,      help=(
           '''The full path to the single TPU training '''
           '''program/script to be launched in parallel, '''
           '''followed by all the arguments for the '''
           '''training script'''
       ),      )

   # rest from the training program
   parser.add_argument('''training_script_args''',      nargs=_UpperCAmelCase)

   return parser.parse_args()



def  __snake_case     (    ):
   UpperCamelCase       =  parse_args()

   # Import training_script as a module.
   UpperCamelCase       =  Path(args.training_script)
   sys.path.append(str(script_fpath.parent.resolve()))
   UpperCamelCase       =  script_fpath.stem
   UpperCamelCase       =  importlib.import_module(_UpperCAmelCase)

   # Patch sys.argv
   UpperCamelCase       =  [args.training_script] + args.training_script_args + ['''--tpu_num_cores''', str(args.num_cores)]
   xmp.spawn(mod._mp_fn,      args=(),      nprocs=args.num_cores)


if __name__ == "__main__":
   main()





