


import re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata




def   snake_case_	(    snake_case	)    ->							str:
       lowercase__:  Union[str, Any]         =  min(re.search('^ +'     ,				snake_case	).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(snake_case	)]	)


__lowerCAmelCase									=				'''\
---
language:
- zh
- en
task_ids:
- sentiment-classification
---
# Begin of markdown

Some cool dataset card
'''

__lowerCAmelCase									=				'''\
---
---
# Begin of markdown

Some cool dataset card
'''


__lowerCAmelCase									=				'''\
# Begin of markdown

Some cool dataset card
'''





class     __a     (       unittest.TestCase ):
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							List[Any]:




        '''simple docstring'''
        with tempfile.TemporaryDirectory() as tmp_dir:
               lowercase__:  Optional[int]         =  Path(lowerCAmelCase__					) / 'README.md'
               with open(lowerCAmelCase__							,					'w+'					) as readme_file:
                      readme_file.write(lowerCAmelCase__					)
               lowercase__:  List[str]         =  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__					)
               lowercase__:  Optional[Any]         =  DatasetMetadata.from_readme(lowerCAmelCase__					)
               self.assertDictEqual(lowerCAmelCase__							,					{}					)

               with open(lowerCAmelCase__							,					'w+'					) as readme_file:
                      readme_file.write(lowerCAmelCase__					)
               lowercase__:  str         =  DatasetMetadata.from_readme(lowerCAmelCase__					)
               self.assertEqual(lowerCAmelCase__							,					{}					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[Any]:




        '''simple docstring'''
        lowercase__:  List[str]         =  _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__					)

        lowercase__:  int         =  _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__					)

        lowercase__:  Any         =  _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__					)






class     __a     :
 def __init__(  self					)   ->							Tuple:




        '''simple docstring'''
        lowercase__:  str         =  []
        lowercase__:  Any         =  0
        lowercase__:  int         =  0
 def __str__(  self					)   ->							Any:




        '''simple docstring'''
        lowercase__:  str         =  '<' + str(self.entries					)[1:-1] + '>'
        return printed
 def 						SCREAMING_SNAKE_CASE__  (  self							,					lowerCAmelCase__					)   ->							List[str]:




        '''simple docstring'''
        self.entries.append(lowerCAmelCase__					)
        lowercase__:  List[str]         =  self.length + 1
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							str:




        '''simple docstring'''
        lowercase__:  Any         =  self.length - 1
        lowercase__:  Optional[int]         =  self.entries[self.front]
        # self.front-=1
        # self.entries = self.entries[self.front:]
        lowercase__:  int         =  self.entries[1:]
        return dequeued
 def 						SCREAMING_SNAKE_CASE__  (  self							,					lowerCAmelCase__					)   ->							List[str]:




        '''simple docstring'''
        for _ in range(lowerCAmelCase__					):
               self.put(self.get()					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Union[str, Any]:




        '''simple docstring'''
        return self.entries[0]
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[int]:




        '''simple docstring'''
        return self.length


