
'''simple docstring'''
import sys
from dataclasses import dataclass
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union

import pandas as pd
import pyarrow as pa

import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast


if TYPE_CHECKING:
  import sqlitea

  import sqlalchemy


a_     =  datasets.utils.logging.get_logger(__name__)






@dataclass
class 				UpperCAmelCase_			(		datasets.BuilderConfig   ):
 UpperCAmelCase_						      =  None
 UpperCAmelCase_						      =  None
 UpperCAmelCase_						      =  None
 UpperCAmelCase_						      =  True
 UpperCAmelCase_						      =  None
 UpperCAmelCase_						      =  None
 UpperCAmelCase_						      =  None
 UpperCAmelCase_						      =  1_0_0_0_0
 UpperCAmelCase_						      =  None





 def     snake_case__						(      self):
     if self.sql is None:
         raise ValueError("sql must be specified")
     if self.con is None:
         raise ValueError("con must be specified")





 def     snake_case__						(      self	,    lowercase_	,    lowercase_ = None	,    ):
     snake_case_	:      int            =  config_kwargs.copy()
     # We need to stringify the Selectable object to make its hash deterministic

     # The process of stringifying is explained here: http://docs.sqlalchemy.org/en/latest/faq/sqlexpressions.html
     snake_case_	:      Dict            =  config_kwargs["sql"]
     if not isinstance(lowercase_	,    lowercase_):
         if datasets.config.SQLALCHEMY_AVAILABLE and "sqlalchemy" in sys.modules:
             import sqlalchemy

             if isinstance(lowercase_	,    sqlalchemy.sql.Selectable):
                 snake_case_	:      Dict            =  sqlalchemy.create_engine(config_kwargs["con"].split("://")[0] + "://")
                 snake_case_	:      Any            =  str(sql.compile(dialect=engine.dialect))
                 snake_case_	:      str            =  sql_str
             else:
                 raise TypeError(
                     F'Supported types for \'sql\' are string and sqlalchemy.sql.Selectable but got {type(lowercase_)}: {sql}')
         else:
             raise TypeError(
                 F'Supported types for \'sql\' are string and sqlalchemy.sql.Selectable but got {type(lowercase_)}: {sql}')
     snake_case_	:      List[Any]            =  config_kwargs["con"]
     if not isinstance(lowercase_	,    lowercase_):
         snake_case_	:      Tuple            =  id(lowercase_)
         logger.info(
             F'SQL connection \'con\' of type {type(lowercase_)} couldn\'t be hashed properly. To enable hashing, specify \'con\' as URI string instead.')

     return super().create_config_id(lowercase_	,    custom_features=lowercase_)





 @property
 def     snake_case__						(      self):
     snake_case_	:      Optional[int]            =  {
         "index_col": self.index_col,
         "columns": self.columns,
         "params": self.params,
         "coerce_float": self.coerce_float,
         "parse_dates": self.parse_dates,
     }
     return pd_read_sql_kwargs






class 				UpperCAmelCase_			(		datasets.ArrowBasedBuilder   ):
 UpperCAmelCase_						      =  SqlConfig





 def     snake_case__						(      self):
     return datasets.DatasetInfo(features=self.config.features)





 def     snake_case__						(      self	,    lowercase_):
     return [datasets.SplitGenerator(name=datasets.Split.TRAIN	,    gen_kwargs={})]





 def     snake_case__						(      self	,    lowercase_):
     if self.config.features is not None:
         snake_case_	:      Any            =  self.config.features.arrow_schema
         if all(not require_storage_cast(lowercase_) for feature in self.config.features.values()):
             # cheaper cast
             snake_case_	:      Any            =  pa.Table.from_arrays([pa_table[field.name] for field in schema]	,    schema=lowercase_)
         else:
             # more expensive cast; allows str <-> int/float or str to Audio for example
             snake_case_	:      Any            =  table_cast(lowercase_	,    lowercase_)
     return pa_table





 def     snake_case__						(      self):
     snake_case_	:      Dict            =  self.config.chunksize
     snake_case_	:      List[Any]            =  pd.read_sql(
         self.config.sql	,    self.config.con	,    chunksize=lowercase_	,    **self.config.pd_read_sql_kwargs)
     snake_case_	:      Union[str, Any]            =  [sql_reader] if chunksize is None else sql_reader
     for chunk_idx, df in enumerate(lowercase_):
         snake_case_	:      str            =  pa.Table.from_pandas(lowercase_)
         yield chunk_idx, self._cast_table(lowercase_)






'''simple docstring'''
from __future__ import annotations

from typing import Any






class 				UpperCAmelCase_			:





 def __init__(      self	,    lowercase_	,    lowercase_):  # noqa: A002
     snake_case_	:      List[str]            =  item
     snake_case_	:      Dict            =  next






class 				UpperCAmelCase_			:





 def __init__(      self):
     snake_case_	:      Node | None            =  None
     snake_case_	:      List[str]            =  0





 def     snake_case__						(      self	,    lowercase_):
     snake_case_	:      List[Any]            =  Node(lowercase_	,    self.head)
     self.size += 1





 def     snake_case__						(      self):
     # Switched 'self.is_empty()' to 'self.head is None'
     # because mypy was considering the possibility that 'self.head'
     # can be None in below else part and giving error
     if self.head is None:
         return None
     else:
         snake_case_	:      List[Any]            =  self.head.item
         snake_case_	:      Any            =  self.head.next
         self.size -= 1
         return item





 def     snake_case__						(      self):
     return self.head is None





 def __str__(      self):
     if self.is_empty():
         return ""
     else:
         snake_case_	:      Dict            =  self.head
         snake_case_	:      Optional[Any]            =  ""
         snake_case_	:      list[str]            =  []
         while iterate:
             item_list.append(str(iterate.item))
             snake_case_	:      List[str]            =  iterate.next

         snake_case_	:      Optional[Any]            =  " --> ".join(lowercase_)

         return item_str





 def __len__(      self):
     return self.size




