"""simple docstring"""






from typing import List

import numpy as np


def     UpperCAmelCase__ (       lowerCAmelCase__  :dict	)				->					int:
      '''simple docstring'''


      lowercase														=			{key: len(lowerCAmelCase__	) for key, value in gen_kwargs.items() if isinstance(lowerCAmelCase__      ,	lowerCAmelCase__	)}
      if len(set(lists_lengths.values()	)	) > 1:
            raise RuntimeError(
                (
                    """Sharding is ambiguous for this dataset: """
                    + """we found several data sources lists of different lengths, and we don't know over which list we should parallelize:\n"""
                    + """\n""".join(f'\t- key {key} has length {length}' for key, length in lists_lengths.items()	)
                    + """\nTo fix this, check the 'gen_kwargs' and make sure to use lists only for data sources, """
                    + """and use tuples otherwise. In the end there should only be one single list, or several lists with the same length."""
                )	)
      lowercase														=			max(lists_lengths.values()      ,	default=0	)
      return max(1      ,	lowerCAmelCase__	)


def     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :int	)				->					List[range]:
      '''simple docstring'''


      lowercase														=			[]
      for group_idx in range(lowerCAmelCase__	):
            lowercase														=			num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
            if num_shards_to_add == 0:
                  break
            lowercase														=			shards_indices_per_group[-1].stop if shards_indices_per_group else 0
            lowercase														=			range(lowerCAmelCase__      ,	start + num_shards_to_add	)
            shards_indices_per_group.append(lowerCAmelCase__	)
      return shards_indices_per_group


def     UpperCAmelCase__ (       lowerCAmelCase__  :dict      ,	lowerCAmelCase__  :int	)				->					List[dict]:
      '''simple docstring'''


      lowercase														=			_number_of_shards_in_gen_kwargs(lowerCAmelCase__	)
      if num_shards == 1:
            return [dict(lowerCAmelCase__	)]
      else:
            lowercase														=			_distribute_shards(num_shards=lowerCAmelCase__      ,	max_num_jobs=lowerCAmelCase__	)
            return [
                {
                    key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
                    if isinstance(lowerCAmelCase__      ,	lowerCAmelCase__	)
                    else value
                    for key, value in gen_kwargs.items()
                }
                for group_idx in range(len(lowerCAmelCase__	)	)
            ]


def     UpperCAmelCase__ (       lowerCAmelCase__  :List[dict]	)				->					dict:
      '''simple docstring'''


      return {
          key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
          if isinstance(gen_kwargs_list[0][key]      ,	lowerCAmelCase__	)
          else gen_kwargs_list[0][key]
          for key in gen_kwargs_list[0]
      }






def     UpperCAmelCase__ (       lowerCAmelCase__  :np.random.Generator      ,	lowerCAmelCase__  :dict	)				->					dict:
      '''simple docstring'''


      lowercase														=			{len(lowerCAmelCase__	) for value in gen_kwargs.values() if isinstance(lowerCAmelCase__      ,	lowerCAmelCase__	)}
      lowercase														=			{}
      for size in list_sizes:
            lowercase														=			list(range(lowerCAmelCase__	)	)
            rng.shuffle(indices_per_size[size]	)
      # Now let's copy the gen_kwargs and shuffle the lists based on their sizes
      lowercase														=			dict(lowerCAmelCase__	)
      for key, value in shuffled_kwargs.items():
            if isinstance(lowerCAmelCase__      ,	lowerCAmelCase__	):
                  lowercase														=			[value[i] for i in indices_per_size[len(lowerCAmelCase__	)]]
      return shuffled_kwargs




"""simple docstring"""






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     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :Tuple	)				->					Union[str, Any]:
      '''simple docstring'''


      assert isinstance(lowerCAmelCase__      ,	lowerCAmelCase__	)
      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     UpperCAmelCase__ (       lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :str      ,	lowerCAmelCase__  :List[str]	)				->					int:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			{"""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														=			SqlDatasetReader(
                """dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__      ,	keep_in_memory=lowerCAmelCase__	).read()
      _check_sql_dataset(lowerCAmelCase__      ,	lowerCAmelCase__	)


@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     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :Union[str, Any]      ,	lowerCAmelCase__  :List[Any]      ,	lowerCAmelCase__  :Union[str, Any]	)				->					Optional[int]:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
      lowercase														=			features.copy() if features else default_expected_features
      lowercase														=			(
          Features({feature: Value(lowerCAmelCase__	) for feature, dtype in features.items()}	) if features is not None else None
      )
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	features=lowerCAmelCase__      ,	cache_dir=lowerCAmelCase__	).read()
      _check_sql_dataset(lowerCAmelCase__      ,	lowerCAmelCase__	)


def     UpperCAmelCase__ (       lowerCAmelCase__  :Any	)				->					Optional[int]:
      '''simple docstring'''


      with contextlib.closing(sqlitea.connect(lowerCAmelCase__	)	) as con:
            lowercase														=			con.cursor()
            cur.execute("""SELECT * FROM dataset"""	)
            for row in cur:
                  yield row


@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :Tuple      ,	lowerCAmelCase__  :str      ,	lowerCAmelCase__  :int	)				->					List[Any]:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""tmp.sql"""	)
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__	).read()
      SqlDatasetWriter(lowerCAmelCase__      ,	"""dataset"""      ,	"""sqlite:///""" + output_sqlite_path      ,	num_proc=1	).write()

      lowercase														=			iter_sql_file(lowerCAmelCase__	)
      lowercase														=			iter_sql_file(lowerCAmelCase__	)

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


@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :str      ,	lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :Optional[int]	)				->					Optional[int]:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""tmp.sql"""	)
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__	).read()
      SqlDatasetWriter(lowerCAmelCase__      ,	"""dataset"""      ,	"""sqlite:///""" + output_sqlite_path      ,	num_proc=2	).write()

      lowercase														=			iter_sql_file(lowerCAmelCase__	)
      lowercase														=			iter_sql_file(lowerCAmelCase__	)

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






@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Tuple	)				->					Any:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""tmp.sql"""	)
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__	).read()
      with pytest.raises(lowerCAmelCase__	):
            SqlDatasetWriter(lowerCAmelCase__      ,	"""dataset"""      ,	"""sqlite:///""" + output_sqlite_path      ,	num_proc=0	).write()



