
import re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata
def        __lowercase(							__snake_case				:		str					)       ->   str:
       __snake_case						       =   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_				:							Union[str, Any]       =    "\\n---\nlanguage:\n- zh\n- en\ntask_ids:\n- sentiment-classification\n---\n# Begin of markdown\n\nSome cool dataset card\n"

lowerCamelCase_				:							Any       =    "\\n---\n---\n# Begin of markdown\n\nSome cool dataset card\n"


lowerCamelCase_				:							Dict       =    "\\n# Begin of markdown\n\nSome cool dataset card\n"







class  _lowerCamelCase			(unittest.TestCase					):

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

                   with open(SCREAMING_SNAKE_CASE_							,       'w+'    ) as readme_file:
                          readme_file.write(SCREAMING_SNAKE_CASE_    )
                   __snake_case						       =   DatasetMetadata.from_readme(SCREAMING_SNAKE_CASE_    )
                   self.assertDictEqual(SCREAMING_SNAKE_CASE_							,       {}    )

                   with open(SCREAMING_SNAKE_CASE_							,       'w+'    ) as readme_file:
                          readme_file.write(SCREAMING_SNAKE_CASE_    )
                   __snake_case						       =   DatasetMetadata.from_readme(SCREAMING_SNAKE_CASE_    )
                   self.assertEqual(SCREAMING_SNAKE_CASE_							,       {}    )

     def 						__lowerCamelCase				(  self    ):
            __snake_case						       =   _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(SCREAMING_SNAKE_CASE_    )

            __snake_case						       =   _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(SCREAMING_SNAKE_CASE_    ):
                   DatasetMetadata.from_yaml_string(SCREAMING_SNAKE_CASE_    )

            __snake_case						       =   _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(SCREAMING_SNAKE_CASE_    )


from __future__ import annotations







class  _lowerCamelCase			:

     def __init__(  self							,       SCREAMING_SNAKE_CASE_ = 0    ):
            __snake_case						       =   value
            __snake_case						       =   None
            __snake_case						       =   None





def        __lowercase(							__snake_case				:		Node | None    ,__snake_case				:		Node | None					)       ->   Node | None:
       if treea is None:
              return treea
       if treea is None:
              return treea

       __snake_case						       =   treea.value + treea.value
       __snake_case						       =   merge_two_binary_trees(treea.left    ,treea.left					)
       __snake_case						       =   merge_two_binary_trees(treea.right    ,treea.right					)
       return treea
def        __lowercase(							__snake_case				:		Node | None					)       ->   None:
       if root:
              print(root.value					)
              print_preorder(root.left					)
              print_preorder(root.right					)


if __name__ == "__main__":
 lowerCamelCase_				:							int       =    Node(1)
 lowerCamelCase_				:							Tuple       =    Node(2)
 lowerCamelCase_				:							Tuple       =    Node(3)
 lowerCamelCase_				:							int       =    Node(4)

 lowerCamelCase_				:							Tuple       =    Node(2)
 lowerCamelCase_				:							List[Any]       =    Node(4)
 lowerCamelCase_				:							List[Any]       =    Node(6)
 lowerCamelCase_				:							Optional[Any]       =    Node(9)
 lowerCamelCase_				:							List[str]       =    Node(5)

 print("Tree1 is: ")
 print_preorder(treea)
 print("Tree2 is: ")
 print_preorder(treea)
 lowerCamelCase_				:							int       =    merge_two_binary_trees(treea, treea)
 print("Merged Tree is: ")
 print_preorder(merged_tree)
