




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()












def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> list:
       lowerCamelCase   :      Dict			 =					len(_SCREAMING_SNAKE_CASE    )
       lowerCamelCase   :      Union[str, Any]			 =					[]
       for i in range(len(_SCREAMING_SNAKE_CASE    ) - pat_len + 1    ):
              lowerCamelCase   :      Dict			 =					True
              for j in range(_SCREAMING_SNAKE_CASE    ):
                     if s[i + j] != pattern[j]:
                            lowerCamelCase   :      Optional[int]			 =					False
                            break
              if match_found:
                     position.append(_SCREAMING_SNAKE_CASE    )
       return position


if __name__ == "__main__":
       assert naive_pattern_search('ABCDEFG', 'DE') == [3]
       print(naive_pattern_search('ABAAABCDBBABCDDEBCABC', 'ABC'))






