



import unittest
import warnings
from dataclasses import dataclass

from transformers.convert_slow_tokenizer import SpmConverter
from transformers.testing_utils import get_tests_dir



@dataclass
class       _lowercase				:





	"""simple docstring"""
	__A		      =				42




class       _lowercase				(  unittest.TestCase      ):





	"""simple docstring"""




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						a   	=  get_tests_dir("fixtures/test_sentencepiece.model"						)
						a   	=  get_tests_dir("fixtures/test_sentencepiece_with_bytefallback.model"						)

						a   	=  FakeOriginalTokenizer(vocab_file=lowerCamelCase_						)

						with warnings.catch_warnings(record=lowerCamelCase_						) as w:
											a   	=  SpmConverter(lowerCamelCase_						)
						self.assertEqual(len(lowerCamelCase_						)						,			0						)

						a   	=  FakeOriginalTokenizer(vocab_file=lowerCamelCase_						)

						with warnings.catch_warnings(record=lowerCamelCase_						) as w:
											a   	=  SpmConverter(lowerCamelCase_						)
						self.assertEqual(len(lowerCamelCase_						)						,			1						)

						self.assertIn(
						    "The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"
						    " which is not implemented in the fast tokenizers."						,			str(w[0].message						)						,			)





import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand






def        a( A			:       Dict			)						->			Optional[int]:
					"""simple docstring"""





					return EnvironmentCommand()







class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""




	@staticmethod
	def 	UpperCamelCase_			(lowerCamelCase_						):
						"""simple docstring"""

						a   	=  parser.add_parser("env"						,			help="Print relevant system environment info."						)
						download_parser.set_defaults(func=lowerCamelCase_						)




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						a   	=  {
						    "`datasets` version": version,
						    "Platform": platform.platform(),
						    "Python version": platform.python_version(),
						    "Huggingface_hub version": huggingface_hub.__version__,
						    "PyArrow version": pyarrow.__version__,
						    "Pandas version": pandas.__version__,
						}

						print("\nCopy-and-paste the text below in your GitHub issue.\n"						)
						print(self.format_dict(lowerCamelCase_						)						)

						return info




	@staticmethod
	def 	UpperCamelCase_			(lowerCamelCase_						):
						"""simple docstring"""

						return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]						) + "\n"
