

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__					(		UpperCAmelCase							:      Optional[Any]    ,			UpperCAmelCase							:      Union[str, Any]      )  ->						str:
  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       a__					(		UpperCAmelCase							:      List[str]    ,			UpperCAmelCase							:      Dict    ,			UpperCAmelCase							:      int    ,			UpperCAmelCase							:      str      )  ->						Dict:
  UpperCAmelCase	:							List[str]						=			tmp_path / '''cache'''
  UpperCAmelCase	:							Tuple						=			{'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
    UpperCAmelCase	:							Dict						=			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       a__					(		UpperCAmelCase							:      str    ,			UpperCAmelCase							:      Union[str, Any]    ,			UpperCAmelCase							:      Tuple    ,			UpperCAmelCase							:      str      )  ->						Dict:
  UpperCAmelCase	:							Tuple						=			tmp_path / '''cache'''
  UpperCAmelCase	:							Union[str, Any]						=			{'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
  UpperCAmelCase	:							Dict						=			features.copy() if features else default_expected_features
  UpperCAmelCase	:							Union[str, Any]						=			(
      Features({feature: Value(_lowerCAmelCase      ) for feature, dtype in features.items()}      ) if features is not None else None
  )
  UpperCAmelCase	:							int						=			SqlDatasetReader('''dataset'''    ,			'''sqlite:///''' + sqlite_path    ,			features=_lowerCAmelCase    ,			cache_dir=_lowerCAmelCase      ).read()
  _check_sql_dataset(_lowerCAmelCase    ,			_lowerCAmelCase      )

def       a__					(		UpperCAmelCase							:      List[str]      )  ->						int:



  with contextlib.closing(sqlitea.connect(_lowerCAmelCase      )      ) as con:
    UpperCAmelCase	:							Tuple						=			con.cursor()
    cur.execute('''SELECT * FROM dataset'''      )
    for row in cur:
      yield row

@require_sqlalchemy
def       a__					(		UpperCAmelCase							:      Dict    ,			UpperCAmelCase							:      Tuple    ,			UpperCAmelCase							:      Tuple      )  ->						Optional[Any]:
  UpperCAmelCase	:							Optional[int]						=			tmp_path / '''cache'''
  UpperCAmelCase	:							str						=			os.path.join(_lowerCAmelCase    ,			'''tmp.sql'''      )
  UpperCAmelCase	:							Dict						=			SqlDatasetReader('''dataset'''    ,			'''sqlite:///''' + sqlite_path    ,			cache_dir=_lowerCAmelCase      ).read()
  SqlDatasetWriter(_lowerCAmelCase    ,			'''dataset'''    ,			'''sqlite:///''' + output_sqlite_path    ,			num_proc=1      ).write()

  UpperCAmelCase	:							List[str]						=			iter_sql_file(_lowerCAmelCase      )
  UpperCAmelCase	:							str						=			iter_sql_file(_lowerCAmelCase      )

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

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

  UpperCAmelCase	:							Union[str, Any]						=			iter_sql_file(_lowerCAmelCase      )
  UpperCAmelCase	:							Union[str, Any]						=			iter_sql_file(_lowerCAmelCase      )

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






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








from math import log

from scipy.constants import Boltzmann, physical_constants

_lowerCamelCase    :       Tuple        =							3_0_0  # TEMPERATURE (unit = K)

def       a__					(		UpperCAmelCase							:      float    ,			UpperCAmelCase							:      float    ,			UpperCAmelCase							:      float    ,			)  ->						float:

  if donor_conc <= 0:
    raise ValueError('''Donor concentration should be positive'''      )
  elif acceptor_conc <= 0:
    raise ValueError('''Acceptor concentration should be positive'''      )
  elif intrinsic_conc <= 0:
    raise ValueError('''Intrinsic concentration should be positive'''      )
  elif donor_conc <= intrinsic_conc:
    raise ValueError(
        '''Donor concentration should be greater than intrinsic concentration'''      )
  elif acceptor_conc <= intrinsic_conc:
    raise ValueError(
        '''Acceptor concentration should be greater than intrinsic concentration'''      )
  else:
    return (
        Boltzmann
        * T
        * log((donor_conc * acceptor_conc) / intrinsic_conc**2      )
        / physical_constants["electron volt"][0]
    )


if __name__ == "__main__":
     import doctest

     doctest.testmod()





