






"""simple docstring"""

from __future__ import annotations

from typing import TypedDict


class 		__lowerCamelCase				( A__			):





		'''simple docstring'''






		a_	:				str
		a_	:				int







def 		__lowerCamelCase	(  __UpperCamelCase       )						->    list[str]:

		"""simple docstring"""







		if not isinstance(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__       ):
				raise TypeError("The parameter s type must be str."       )

		return [s[i:] + s[:i] for i in range(len(SCREAMING_SNAKE_CASE__       )       )]

def 		__lowerCamelCase	(  __UpperCamelCase       )						->    BWTTransformDict:

		"""simple docstring"""







		if not isinstance(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__       ):
				raise TypeError("The parameter s type must be str."       )
		if not s:
				raise ValueError("The parameter s must not be empty."       )

		lowerCAmelCase_   :							List[Any]									=			all_rotations(SCREAMING_SNAKE_CASE__       )
		rotations.sort()  # sort the list of rotations in alphabetically order
		# make a string composed of the last char of each rotation
		lowerCAmelCase_   :							BWTTransformDict									=			{
		    "bwt_string": "".join([word[-1] for word in rotations]       ),
		    "idx_original_string": rotations.index(SCREAMING_SNAKE_CASE__       ),
		}
		return response

def 		__lowerCamelCase	(  __UpperCamelCase      ,       __UpperCamelCase       )						->    str:

		"""simple docstring"""







		if not isinstance(SCREAMING_SNAKE_CASE__      ,       SCREAMING_SNAKE_CASE__       ):
				raise TypeError("The parameter bwt_string type must be str."       )
		if not bwt_string:
				raise ValueError("The parameter bwt_string must not be empty."       )
		try:
				lowerCAmelCase_   :							List[str]									=			int(SCREAMING_SNAKE_CASE__       )
		except ValueError:
				raise TypeError(
				    "The parameter idx_original_string type must be int or passive"
				    " of cast to int."       )
		if idx_original_string < 0:
				raise ValueError("The parameter idx_original_string must not be lower than 0."       )
		if idx_original_string >= len(SCREAMING_SNAKE_CASE__       ):
				raise ValueError(
				    "The parameter idx_original_string must be lower than" " len(bwt_string)."       )

		lowerCAmelCase_   :							str									=			[""""""] * len(SCREAMING_SNAKE_CASE__       )
		for _ in range(len(SCREAMING_SNAKE_CASE__       )       ):
				for i in range(len(SCREAMING_SNAKE_CASE__       )       ):
						lowerCAmelCase_   :							List[str]									=			bwt_string[i] + ordered_rotations[i]
				ordered_rotations.sort()
		return ordered_rotations[idx_original_string]


if __name__ == "__main__":
					lowercase__          = """Provide a string that I will generate its BWT transform: """
					lowercase__          = input(entry_msg).strip()
					lowercase__          = bwt_transform(s)
					print(
					    F"""Burrows Wheeler transform for string \'{s}\' results """
					    F"""in \'{result['bwt_string']}\'"""
					)
					lowercase__          = reverse_bwt(result["""bwt_string"""], result["""idx_original_string"""])
					print(
					    F"""Reversing Burrows Wheeler transform for entry \'{result['bwt_string']}\' """
					    F"""we get original string \'{original_string}\'"""
					)


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 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Any:
       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 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Union[str, Any]:
       lowercase							:     Union[str, Any]       	=      tmp_path / """cache"""
       lowercase							:     Optional[Any]       	=      {"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
       with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
              lowercase							:     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 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Tuple:
       lowercase							:     Union[str, Any]       	=      tmp_path / """cache"""
       lowercase							:     int       	=      {"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
       lowercase							:     str       	=      features.copy() if features else default_expected_features
       lowercase							:     Optional[Any]       	=      (
           Features({feature: Value(SCREAMING_SNAKE_CASE__				) for feature, dtype in features.items()}				) if features is not None else None
       )
       lowercase							:     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 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    List[Any]:
       with contextlib.closing(sqlitea.connect(SCREAMING_SNAKE_CASE__				)				) as con:
              lowercase							:     Optional[int]       	=      con.cursor()
              cur.execute("""SELECT * FROM dataset"""				)
              for row in cur:
                     yield row







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

       lowercase							:     List[str]       	=      iter_sql_file(SCREAMING_SNAKE_CASE__				)
       lowercase							:     Tuple       	=      iter_sql_file(SCREAMING_SNAKE_CASE__				)

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







@require_sqlalchemy
def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Dict:
       lowercase							:     Dict       	=      tmp_path / """cache"""
       lowercase							:     List[str]       	=      os.path.join(SCREAMING_SNAKE_CASE__					,	"""tmp.sql"""				)
       lowercase							:     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()

       lowercase							:     Optional[int]       	=      iter_sql_file(SCREAMING_SNAKE_CASE__				)
       lowercase							:     List[Any]       	=      iter_sql_file(SCREAMING_SNAKE_CASE__				)

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







@require_sqlalchemy
def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    List[str]:
       lowercase							:     str       	=      tmp_path / """cache"""
       lowercase							:     Optional[int]       	=      os.path.join(SCREAMING_SNAKE_CASE__					,	"""tmp.sql"""				)
       lowercase							:     Optional[Any]       	=      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()
