




"""simple docstring"""







import re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata





def 							lowercase   (snake_case__				:	str	)       ->					List[str]:


				'''simple docstring'''






				lowerCAmelCase		=			min(re.search("""^ +""" ,    lowercase__	).end() if t.startswith(""" """	) else 0 for t in string.splitlines()	)
				return "\n".join([line[indent_level:] for line in string.splitlines() if indent_level < len(lowercase__	)]	)


a								=							'\\n---\nlanguage:\n- zh\n- en\ntask_ids:\n- sentiment-classification\n---\n# Begin of markdown\n\nSome cool dataset card\n'

a								=							'\\n---\n---\n# Begin of markdown\n\nSome cool dataset card\n'


a								=							'\\n# Begin of markdown\n\nSome cool dataset card\n'






class  SCREAMING_SNAKE_CASE__   (   unittest.TestCase   ):


						def 					__lowercase	(							self			:     Dict   ):







										with tempfile.TemporaryDirectory() as tmp_dir:
														lowerCAmelCase		=			Path(lowerCAmelCase   ) / "README.md"
														with open(lowerCAmelCase  ,  """w+"""   ) as readme_file:
																		readme_file.write(lowerCAmelCase   )
														lowerCAmelCase		=			DatasetMetadata.from_readme(lowerCAmelCase   )
														self.assertDictEqual(lowerCAmelCase  ,  {"""language""": ["""zh""", """en"""], """task_ids""": ["""sentiment-classification"""]}   )

														with open(lowerCAmelCase  ,  """w+"""   ) as readme_file:
																		readme_file.write(lowerCAmelCase   )
														lowerCAmelCase		=			DatasetMetadata.from_readme(lowerCAmelCase   )
														self.assertDictEqual(lowerCAmelCase  ,  {}   )

														with open(lowerCAmelCase  ,  """w+"""   ) as readme_file:
																		readme_file.write(lowerCAmelCase   )
														lowerCAmelCase		=			DatasetMetadata.from_readme(lowerCAmelCase   )
														self.assertEqual(lowerCAmelCase  ,  {}   )




						def 					__lowercase	(							self			:     List[str]   ):
										lowerCAmelCase		=			_dedent(
										    """\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            """   )
										assert DatasetMetadata.from_yaml_string(lowerCAmelCase   )

										lowerCAmelCase		=			_dedent(
										    """\\n            annotations_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            task_ids:\n            - open-domain-qa\n            """   )
										with self.assertRaises(lowerCAmelCase   ):
														DatasetMetadata.from_yaml_string(lowerCAmelCase   )

										lowerCAmelCase		=			_dedent(
										    """\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - text-classification\n            task_ids:\n            - multi-class-classification\n            paperswithcode_id:\n            - squad\n            configs:\n            - en\n            train-eval-index:\n            - config: en\n              task: text-classification\n              task_id: multi_class_classification\n              splits:\n                train_split: train\n                eval_split: test\n              col_mapping:\n                text: text\n                label: target\n              metrics:\n                - type: accuracy\n                  name: Accuracy\n            extra_gated_prompt: |\n              By clicking on “Access repository” below, you also agree to ImageNet Terms of Access:\n              [RESEARCHER_FULLNAME] (the \"Researcher\") has requested permission to use the ImageNet database (the \"Database\") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n              1. Researcher shall use the Database only for non-commercial research and educational purposes.\n            extra_gated_fields:\n              Company: text\n              Country: text\n              I agree to use this model for non-commerical use ONLY: checkbox\n            """   )
										assert DatasetMetadata.from_yaml_string(lowerCAmelCase   )








"""simple docstring"""







def 							lowercase   (snake_case__				:	int	)       ->					int:


				'''simple docstring'''






				barcode //= 10  # exclude the last digit
				lowerCAmelCase		=			False
				lowerCAmelCase		=			0

				# extract and check each digit
				while barcode != 0:
								lowerCAmelCase		=			1 if checker else 3
								s += mult * (barcode % 10)
								barcode //= 10
								lowerCAmelCase		=			not checker

				return (10 - (s % 10)) % 10





def 							lowercase   (snake_case__				:	int	)       ->					bool:


				'''simple docstring'''






				return len(str(snake_case__	)	) == 13 and get_check_digit(snake_case__	) == barcode % 10





def 							lowercase   (snake_case__				:	str	)       ->					int:


				'''simple docstring'''






				if str(snake_case__	).isalpha():
								lowerCAmelCase		=			f'''Barcode \'{barcode}\' has alphabetic characters.'''
								raise ValueError(snake_case__	)
				elif int(snake_case__	) < 0:
								raise ValueError("""The entered barcode has a negative value. Try again."""	)
				else:
								return int(snake_case__	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		a								=							get_barcode(input('Barcode: ').strip())

		if is_valid(barcode):
				print(f"""'{barcode}' is a valid barcode.""")
		else:
				print(f"""'{barcode}' is NOT a valid barcode.""")





