






'''simple docstring'''




import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil

@pytest.fixture
def    __lowercase		(     __lowercase			)			->		Dict:

      '''simple docstring'''


      _A     	=      tmp_path / "file.csv"
      _A     	=      textwrap.dedent(
          "\\n        header1,header2\n        1,2\n        10,20\n        "			)
      with open(lowerCamelCase_  ,    "w"			) as f:
            f.write(lowerCamelCase_			)
      return str(lowerCamelCase_			)

@pytest.fixture
def    __lowercase		(     __lowercase			)			->		Dict:

      '''simple docstring'''


      _A     	=      tmp_path / "malformed_file.csv"
      _A     	=      textwrap.dedent(
          "\\n        header1,header2\n        1,2\n        10,20,\n        "			)
      with open(lowerCamelCase_  ,    "w"			) as f:
            f.write(lowerCamelCase_			)
      return str(lowerCamelCase_			)

@pytest.fixture
def    __lowercase		(     __lowercase  ,    __lowercase			)			->		List[Any]:

      '''simple docstring'''


      _A     	=      tmp_path / "csv_with_image.csv"
      _A     	=      textwrap.dedent(
          F'''\
        image
        {image_file}
        '''			)
      with open(lowerCamelCase_  ,    "w"			) as f:
            f.write(lowerCamelCase_			)
      return str(lowerCamelCase_			)

@pytest.fixture
def    __lowercase		(     __lowercase			)			->		Optional[int]:

      '''simple docstring'''


      _A     	=      tmp_path / "csv_with_label.csv"
      _A     	=      textwrap.dedent(
          "\\n        label\n        good\n        bad\n        good\n        "			)
      with open(lowerCamelCase_  ,    "w"			) as f:
            f.write(lowerCamelCase_			)
      return str(lowerCamelCase_			)

@pytest.fixture
def    __lowercase		(     __lowercase			)			->		int:

      '''simple docstring'''


      _A     	=      tmp_path / "csv_with_int_list.csv"
      _A     	=      textwrap.dedent(
          "\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        "			)
      with open(lowerCamelCase_  ,    "w"			) as f:
            f.write(lowerCamelCase_			)
      return str(lowerCamelCase_			)

def    __lowercase		(     __lowercase  ,    __lowercase  ,    __lowercase			)			->		Tuple:

      '''simple docstring'''


      _A     	=      Csv()
      _A     	=      csv._generate_tables([[csv_file, malformed_csv_file]]			)
      with pytest.raises(lowerCamelCase_  ,    match="Error tokenizing data"			):
            for _ in generator:
                  pass
      assert any(
          record.levelname == "ERROR"
          and "Failed to read file" in record.message
          and os.path.basename(lowerCamelCase_			) in record.message
          for record in caplog.records			)

@require_pil
def    __lowercase		(     __lowercase			)			->		List[Any]:

      '''simple docstring'''


      with open(lowerCamelCase_  ,    encoding="utf-8"			) as f:
            _A     	=      f.read().splitlines()[1]
      _A     	=      Csv(encoding="utf-8"  ,    features=Features({"image": Image()}			)			)
      _A     	=      csv._generate_tables([[csv_file_with_image]]			)
      _A     	=      pa.concat_tables([table for _, table in generator]			)
      assert pa_table.schema.field("image"			).type == Image()()
      _A     	=      pa_table.to_pydict()["image"]
      assert generated_content == [{"path": image_file, "bytes": None}]

def    __lowercase		(     __lowercase			)			->		int:

      '''simple docstring'''


      with open(lowerCamelCase_  ,    encoding="utf-8"			) as f:
            _A     	=      f.read().splitlines()[1:]
      _A     	=      Csv(encoding="utf-8"  ,    features=Features({"label": ClassLabel(names=["good", "bad"]			)}			)			)
      _A     	=      csv._generate_tables([[csv_file_with_label]]			)
      _A     	=      pa.concat_tables([table for _, table in generator]			)
      assert pa_table.schema.field("label"			).type == ClassLabel(names=["good", "bad"]			)()
      _A     	=      pa_table.to_pydict()["label"]
      assert generated_content == [ClassLabel(names=["good", "bad"]			).straint(lowerCamelCase_			) for label in labels]


def    __lowercase		(     __lowercase			)			->		Optional[Any]:

      '''simple docstring'''


      _A     	=      Csv(encoding="utf-8"  ,    sep=","  ,    converters={"int_list": lambda __lowercase			: [int(lowerCamelCase_			) for i in x.split()]}			)
      _A     	=      csv._generate_tables([[csv_file_with_int_list]]			)
      _A     	=      pa.concat_tables([table for _, table in generator]			)
      assert pa.types.is_list(pa_table.schema.field("int_list"			).type			)
      _A     	=      pa_table.to_pydict()["int_list"]
      assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]










"""simple docstring"""







from __future__ import annotations

A		=						'#'

class       _a  :



			def __init__(			self							:				List[Any]		)							->					None:
									snake_case   :			dict						    = {}



			def 				__lowercase					(			self							:				str   ,	_lowercase							:				str		)							->					None:
									snake_case   :			Optional[int]						    = self._trie
									for char in text:
															if char not in trie:
																					snake_case   :			str						    = {}
															snake_case   :			Optional[Any]						    = trie[char]
									snake_case   :			str						    = True



			def 				__lowercase					(			self							:				List[Any]   ,	_lowercase							:				str		)							->					tuple | list:
									snake_case   :			Dict						    = self._trie
									for char in prefix:
															if char in trie:
																					snake_case   :			Tuple						    = trie[char]
															else:
																					return []
									return self._elements(_lowercase		)



			def 				__lowercase					(			self							:				Optional[int]   ,	_lowercase							:				dict		)							->					tuple:
									snake_case   :			int						    = []
									for c, v in d.items():
															snake_case   :			int						    = [" "] if c == END else [(c + s) for s in self._elements(_lowercase		)]
															result.extend(_lowercase		)
									return tuple(_lowercase		)



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

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							str ):
						"""simple docstring"""






						snake_case   :			Optional[int]						    = trie.find_word(lowerCamelCase_ )
						return tuple(string + word for word in suffixes )

def  __SCREAMING_SNAKE_CASE		(			):
						"""simple docstring"""






						print(autocomplete_using_trie("de" ) )


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()



