




import contextlib
import os
import sqlitea

import pytest

from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> str:
       assert isinstance(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )
       assert dataset.num_rows == 4
       assert dataset.num_columns == 3
       assert dataset.column_names == ["col_1", "col_2", "col_3"]
       for feature, expected_dtype in expected_features.items():
              assert dataset.features[feature].dtype == expected_dtype

@require_sqlalchemy
@pytest.mark.parametrize("keep_in_memory" ,[False, True]    )
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> Tuple:
       lowerCamelCase   :      Tuple			 =					tmp_path / "cache"
       lowerCamelCase   :      Dict			 =					{"col_1": "string", "col_2": "int64", "col_3": "float64"}
       with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
              lowerCamelCase   :      Union[str, Any]			 =					SqlDatasetReader(
                  "dataset" ,"sqlite:///" + sqlite_path ,cache_dir=_SCREAMING_SNAKE_CASE ,keep_in_memory=_SCREAMING_SNAKE_CASE    ).read()
       _check_sql_dataset(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )

@require_sqlalchemy
@pytest.mark.parametrize(
    "features" ,[
        None,
        {"col_1": "string", "col_2": "int64", "col_3": "float64"},
        {"col_1": "string", "col_2": "string", "col_3": "string"},
        {"col_1": "int32", "col_2": "int32", "col_3": "int32"},
        {"col_1": "float32", "col_2": "float32", "col_3": "float32"},
    ] ,)
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> str:
       lowerCamelCase   :      Tuple			 =					tmp_path / "cache"
       lowerCamelCase   :      Any			 =					{"col_1": "string", "col_2": "int64", "col_3": "float64"}
       lowerCamelCase   :      Optional[Any]			 =					features.copy() if features else default_expected_features
       lowerCamelCase   :      int			 =					(
           Features({feature: Value(_SCREAMING_SNAKE_CASE    ) for feature, dtype in features.items()}    ) if features is not None else None
       )
       lowerCamelCase   :      Optional[int]			 =					SqlDatasetReader("dataset" ,"sqlite:///" + sqlite_path ,features=_SCREAMING_SNAKE_CASE ,cache_dir=_SCREAMING_SNAKE_CASE    ).read()
       _check_sql_dataset(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )

def      A      (      _SCREAMING_SNAKE_CASE    )	-> Dict:
       with contextlib.closing(sqlitea.connect(_SCREAMING_SNAKE_CASE    )    ) as con:
              lowerCamelCase   :      List[str]			 =					con.cursor()
              cur.execute("SELECT * FROM dataset"    )
              for row in cur:
                     yield row

@require_sqlalchemy
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> List[str]:
       lowerCamelCase   :      str			 =					tmp_path / "cache"
       lowerCamelCase   :      str			 =					os.path.join(_SCREAMING_SNAKE_CASE ,"tmp.sql"    )
       lowerCamelCase   :      Optional[int]			 =					SqlDatasetReader("dataset" ,"sqlite:///" + sqlite_path ,cache_dir=_SCREAMING_SNAKE_CASE    ).read()
       SqlDatasetWriter(_SCREAMING_SNAKE_CASE ,"dataset" ,"sqlite:///" + output_sqlite_path ,num_proc=1    ).write()

       lowerCamelCase   :      Optional[Any]			 =					iter_sql_file(_SCREAMING_SNAKE_CASE    )
       lowerCamelCase   :      Union[str, Any]			 =					iter_sql_file(_SCREAMING_SNAKE_CASE    )

       for rowa, rowa in zip(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    ):
              assert rowa == rowa

@require_sqlalchemy
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> Union[str, Any]:
       lowerCamelCase   :      Optional[Any]			 =					tmp_path / "cache"
       lowerCamelCase   :      Optional[int]			 =					os.path.join(_SCREAMING_SNAKE_CASE ,"tmp.sql"    )
       lowerCamelCase   :      List[str]			 =					SqlDatasetReader("dataset" ,"sqlite:///" + sqlite_path ,cache_dir=_SCREAMING_SNAKE_CASE    ).read()
       SqlDatasetWriter(_SCREAMING_SNAKE_CASE ,"dataset" ,"sqlite:///" + output_sqlite_path ,num_proc=2    ).write()

       lowerCamelCase   :      List[str]			 =					iter_sql_file(_SCREAMING_SNAKE_CASE    )
       lowerCamelCase   :      Any			 =					iter_sql_file(_SCREAMING_SNAKE_CASE    )

       for rowa, rowa in zip(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    ):
              assert rowa == rowa


@require_sqlalchemy
def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> List[Any]:
       lowerCamelCase   :      List[Any]			 =					tmp_path / "cache"
       lowerCamelCase   :      List[str]			 =					os.path.join(_SCREAMING_SNAKE_CASE ,"tmp.sql"    )
       lowerCamelCase   :      Optional[int]			 =					SqlDatasetReader("dataset" ,"sqlite:///" + sqlite_path ,cache_dir=_SCREAMING_SNAKE_CASE    ).read()
       with pytest.raises(_SCREAMING_SNAKE_CASE    ):
              SqlDatasetWriter(_SCREAMING_SNAKE_CASE ,"dataset" ,"sqlite:///" + output_sqlite_path ,num_proc=0    ).write()








"""simple docstring"""





from __future__ import annotations



def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		int | float:


					"""simple docstring"""





					if len(__snake_case	) == 0:
										raise ValueError('''find_max() arg is an empty sequence'''	)
					if (
					    left >= len(__snake_case	)
					    or left < -len(__snake_case	)
					    or right >= len(__snake_case	)
					    or right < -len(__snake_case	)
					):
										raise IndexError('''list index out of range'''	)
					if left == right:
										return nums[left]
					_UpperCamelCase							 =  (left + right) >> 1  # the middle
					_UpperCamelCase							 =  find_max(__snake_case,     __snake_case,     __snake_case	)  # find max in range[left, mid]
					_UpperCamelCase							 =  find_max(__snake_case,     mid + 1,     __snake_case	)  # find max in range[mid + 1, right]

					return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
				import doctest

				doctest.testmod(verbose=True)






