
'''simple docstring'''






from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset




class     __snake_case		(   UpperCamelCase__):
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return [
									    {"col_1": 3, "col_2": "a"},
									    {"col_1": 2, "col_2": "b"},
									    {"col_1": 1, "col_2": "c"},
									    {"col_1": 0, "col_2": "d"},
									]
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= {"""col_1""": [3, 2, 1, 0], """col_2""": ["""a""", """b""", """c""", """d"""]}
									return Dataset.from_dict(_a      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= self._create_example_records()
									lowerCamelCase					:			List[Any]									= Dataset.from_list(_a      )
									self.assertListEqual(dset.column_names,    ['col_1', 'col_2']      )
									for i, r in enumerate(_a      ):
													self.assertDictEqual(_a,    example_records[i]      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= self._create_example_records()
									lowerCamelCase					:			List[str]									= Dataset.from_list(_a      )
									lowerCamelCase					:			str									= Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}      )
									self.assertEqual(dset.info,    dset_from_dict.info      )
					def     UpperCAmelCase_							(     self      ):  # checks what happens with missing columns

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= [{"""col_1""": 1}, {"""col_2""": """x"""}]
									lowerCamelCase					:			List[str]									= Dataset.from_list(_a      )
									self.assertDictEqual(dset[0],    {'col_1': 1}      )
									self.assertDictEqual(dset[1],    {'col_1': None}      )  # NB: first record is used for columns
					def     UpperCAmelCase_							(     self      ):  # checks if the type can be inferred from the second record

									"""simple docstring"""


									lowerCamelCase					:			List[Any]									= [{"""col_1""": []}, {"""col_1""": [1, 2]}]
									lowerCamelCase					:			str									= Dataset.from_list(_a      )
									self.assertEqual(dset.info.features['col_1'],    Sequence(Value('int64'      )      )      )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= Dataset.from_list([]      )
									self.assertEqual(len(_a      ),    0      )
									self.assertListEqual(dset.column_names,    []      )


'''simple docstring'''






from __future__ import annotations

A			      =      '#'




class     __snake_case		:
					def __init__(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			dict									= {}
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= self._trie
									for char in text:
													if char not in trie:
																	lowerCamelCase					:			Dict									= {}
													lowerCamelCase					:			Optional[int]									= trie[char]
									lowerCamelCase					:			Optional[Any]									= True
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= self._trie
									for char in prefix:
													if char in trie:
																	lowerCamelCase					:			int									= trie[char]
													else:
																	return []
									return self._elements(A      )




					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= []
									for c, v in d.items():
													lowerCamelCase					:			Optional[Any]									= [' '] if c == END else [(c + s) for s in self._elements(A      )]
													result.extend(A      )
									return tuple(A      )





A			      =      Trie()
A			      =      ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
					trie.insert_word(word)





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Any									= trie.find_word(UpperCAmelCase__)
				return tuple(string + word for word in suffixes)





def    UpperCAmelCase							(  ):
				print(autocomplete_using_trie('de'))


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()
