






from __future__ import annotations

from random import random
from typing import Generic, TypeVar

__lowerCamelCase   :					Optional[int]   							=					TypeVar('''KT''')
__lowerCamelCase   :					Tuple   							=					TypeVar('''VT''')







class    A_	(Generic[KT, VT]							):
							"""simple docstring"""




							def __init__(		self			:List[str]       ,							lowerCAmelCase__			:List[Any] = "root"       ,							lowerCAmelCase__			:int = None				)				->  Dict:


										'''simple docstring'''




										snake_case_				:					Optional[int]   =       key
										snake_case_				:					Optional[Any]   =       value
										snake_case_				:					str   =       []

							def __repr__(		self			:int				)				->  str:


										'''simple docstring'''




										return F'''Node({self.key}: {self.value})'''






							@property
							def 							_A	(		self			:Optional[Any]				)				->  int:


										'''simple docstring'''




										return len(self.forward				)







class    A_	(Generic[KT, VT]							):
							"""simple docstring"""




							def __init__(		self			:List[str]       ,							lowerCAmelCase__			:List[Any] = 0.5       ,							lowerCAmelCase__			:Dict = 16				)				->  int:


										'''simple docstring'''




										snake_case_				:					Dict   =       Node[KT, VT]()
										snake_case_				:					Tuple   =       0
										snake_case_				:					List[str]   =       p
										snake_case_				:					Tuple   =       max_level

							def __str__(		self			:Dict				)				->  str:


										'''simple docstring'''




										snake_case_				:					Dict   =       list(self				)

										if len(__A				) == 0:
													return F'''SkipList(level={self.level})'''

										snake_case_				:					str   =       max((len(str(__A				)				) for item in items)       ,							default=4				)
										snake_case_				:					List[Any]   =       max(__A       ,							4				) + 4

										snake_case_				:					Optional[Any]   =       self.head
										snake_case_				:					List[str]   =       []

										snake_case_				:					Union[str, Any]   =       node.forward.copy()
										lines.append(F'''[{node.key}]'''.ljust(__A       ,							"-"				) + "* " * len(__A				)				)
										lines.append(" " * label_size + "| " * len(__A				)				)

										while len(node.forward				) != 0:
													snake_case_				:					List[str]   =       node.forward[0]

													lines.append(
													    F'''[{node.key}]'''.ljust(__A       ,							"-"				)
													    + " ".join(str(n.key				) if n.key == node.key else "|" for n in forwards				)				)
													lines.append(" " * label_size + "| " * len(__A				)				)
													snake_case_				:					Any   =       node.forward

										lines.append("None".ljust(__A				) + "* " * len(__A				)				)
										return F'''SkipList(level={self.level})\n''' + "\n".join(__A				)

							def __iter__(		self			:Dict				)				->  int:


										'''simple docstring'''




										snake_case_				:					int   =       self.head

										while len(node.forward				) != 0:
													yield node.forward[0].key
													snake_case_				:					int   =       node.forward[0]

							def 							_A	(		self			:int				)				->  int:


										'''simple docstring'''




										snake_case_				:					List[Any]   =       1
										while random() < self.p and level < self.max_level:
													level += 1

										return level

							def 							_A	(		self			:Any       ,							lowerCAmelCase__			:List[str]				)				->  tuple[Node[KT, VT] | None, list[Node[KT, VT]]]:


										'''simple docstring'''




										snake_case_				:					int   =       []

										snake_case_				:					Union[str, Any]   =       self.head

										for i in reversed(range(self.level				)				):
													# i < node.level - When node level is lesser than `i` decrement `i`.
													# node.forward[i].key < key - Jumping to node with key value higher
													#                             or equal to searched key would result
													#                             in skipping searched key.
													while i < node.level and node.forward[i].key < key:
																snake_case_				:					Optional[Any]   =       node.forward[i]
													# Each leftmost node (relative to searched node) will potentially have to
													# be updated.
													update_vector.append(__A				)

										update_vector.reverse()  # Note that we were inserting values in reverse order.

										# len(node.forward) != 0 - If current node doesn't contain any further
										#                          references then searched key is not present.
										# node.forward[0].key == key - Next node key should be equal to search key
										#                              if key is present.
										if len(node.forward				) != 0 and node.forward[0].key == key:
													return node.forward[0], update_vector
										else:
													return None, update_vector

							def 							_A	(		self			:List[Any]       ,							lowerCAmelCase__			:Optional[int]				)				->  int:


										'''simple docstring'''




										snake_case_,	snake_case_				:					Dict   =       self._locate_node(__A				)

										if node is not None:
													for i, update_node in enumerate(__A				):
																# Remove or replace all references to removed node.
																if update_node.level > i and update_node.forward[i].key == key:
																			if node.level > i:
																						snake_case_				:					Any   =       node.forward[i]
																			else:
																						snake_case_				:					List[Any]   =       update_node.forward[:i]

							def 							_A	(		self			:Dict       ,							lowerCAmelCase__			:Optional[Any]       ,							lowerCAmelCase__			:Tuple				)				->  Tuple:


										'''simple docstring'''




										snake_case_,	snake_case_				:					Dict   =       self._locate_node(__A				)
										if node is not None:
													snake_case_				:					List[str]   =       value
										else:
													snake_case_				:					Optional[Any]   =       self.random_level()

													if level > self.level:
																# After level increase we have to add additional nodes to head.
																for _ in range(self.level - 1       ,							__A				):
																			update_vector.append(self.head				)
																snake_case_				:					str   =       level

													snake_case_				:					int   =       Node(__A       ,							__A				)

													for i, update_node in enumerate(update_vector[:level]				):
																# Change references to pass through new node.
																if update_node.level > i:
																			new_node.forward.append(update_node.forward[i]				)

																if update_node.level < i + 1:
																			update_node.forward.append(__A				)
																else:
																			snake_case_				:					Union[str, Any]   =       new_node






							def 							_A	(		self			:Optional[Any]       ,							lowerCAmelCase__			:int				)				->  VT | None:


										'''simple docstring'''




										snake_case_,	snake_case_				:					List[str]   =       self._locate_node(__A				)

										if node is not None:
													return node.value

										return None

def 	__UpperCAmelCase       ( )->    List[str]:



			"""simple docstring"""



			snake_case_				:					List[Any]   =       SkipList()
			skip_list.insert("Key1"     ,3						)
			skip_list.insert("Key2"     ,12						)
			skip_list.insert("Key3"     ,41						)
			skip_list.insert("Key4"     ,-19						)

			snake_case_				:					Any   =       skip_list.head
			snake_case_				:					Union[str, Any]   =       {}
			while node.level != 0:
						snake_case_				:					Union[str, Any]   =       node.forward[0]
						snake_case_				:					int   =       node.value

			assert len(a__						) == 4
			assert all_values["Key1"] == 3
			assert all_values["Key2"] == 12
			assert all_values["Key3"] == 41
			assert all_values["Key4"] == -19

def 	__UpperCAmelCase       ( )->    int:



			"""simple docstring"""



			snake_case_				:					Optional[Any]   =       SkipList()
			skip_list.insert("Key1"     ,10						)
			skip_list.insert("Key1"     ,12						)

			skip_list.insert("Key5"     ,7						)
			skip_list.insert("Key7"     ,10						)
			skip_list.insert("Key10"     ,5						)

			skip_list.insert("Key7"     ,7						)
			skip_list.insert("Key5"     ,5						)
			skip_list.insert("Key10"     ,10						)

			snake_case_				:					Union[str, Any]   =       skip_list.head
			snake_case_				:					str   =       {}
			while node.level != 0:
						snake_case_				:					List[str]   =       node.forward[0]
						snake_case_				:					Tuple   =       node.value

			if len(a__						) != 4:
						print()
			assert len(a__						) == 4
			assert all_values["Key1"] == 12
			assert all_values["Key7"] == 7
			assert all_values["Key5"] == 5
			assert all_values["Key10"] == 10

def 	__UpperCAmelCase       ( )->    List[Any]:



			"""simple docstring"""



			snake_case_				:					Dict   =       SkipList()
			assert skip_list.find("Some key"						) is None

def 	__UpperCAmelCase       ( )->    str:



			"""simple docstring"""



			snake_case_				:					Optional[int]   =       SkipList()

			skip_list.insert("Key2"     ,20						)
			assert skip_list.find("Key2"						) == 20

			skip_list.insert("Some Key"     ,10						)
			skip_list.insert("Key2"     ,8						)
			skip_list.insert("V"     ,13						)

			assert skip_list.find("Y"						) is None
			assert skip_list.find("Key2"						) == 8
			assert skip_list.find("Some Key"						) == 10
			assert skip_list.find("V"						) == 13

def 	__UpperCAmelCase       ( )->    List[Any]:



			"""simple docstring"""



			snake_case_				:					Dict   =       SkipList()
			skip_list.delete("Some key"						)

			assert len(skip_list.head.forward						) == 0

def 	__UpperCAmelCase       ( )->    Union[str, Any]:



			"""simple docstring"""



			snake_case_				:					str   =       SkipList()

			skip_list.insert("Key1"     ,12						)
			skip_list.insert("V"     ,13						)
			skip_list.insert("X"     ,14						)
			skip_list.insert("Key2"     ,15						)

			skip_list.delete("V"						)
			skip_list.delete("Key2"						)

			assert skip_list.find("V"						) is None
			assert skip_list.find("Key2"						) is None

def 	__UpperCAmelCase       ( )->    str:



			"""simple docstring"""



			snake_case_				:					Optional[Any]   =       SkipList()

			skip_list.insert("Key1"     ,12						)
			skip_list.insert("V"     ,13						)
			skip_list.insert("X"     ,14						)
			skip_list.insert("Key2"     ,15						)

			skip_list.delete("V"						)
			assert skip_list.find("V"						) is None
			assert skip_list.find("X"						) == 14
			assert skip_list.find("Key1"						) == 12
			assert skip_list.find("Key2"						) == 15

			skip_list.delete("X"						)
			assert skip_list.find("V"						) is None
			assert skip_list.find("X"						) is None
			assert skip_list.find("Key1"						) == 12
			assert skip_list.find("Key2"						) == 15

			skip_list.delete("Key1"						)
			assert skip_list.find("V"						) is None
			assert skip_list.find("X"						) is None
			assert skip_list.find("Key1"						) is None
			assert skip_list.find("Key2"						) == 15

			skip_list.delete("Key2"						)
			assert skip_list.find("V"						) is None
			assert skip_list.find("X"						) is None
			assert skip_list.find("Key1"						) is None
			assert skip_list.find("Key2"						) is None

def 	__UpperCAmelCase       ( )->    int:



			"""simple docstring"""



			snake_case_				:					int   =       SkipList()

			skip_list.insert("Key1"     ,12						)
			skip_list.insert("V"     ,13						)
			skip_list.insert("X"     ,142						)
			skip_list.insert("Key2"     ,15						)

			skip_list.delete("X"						)

			def traverse_keys(__magic_name__						):
						yield node.key
						for forward_node in node.forward:
									yield from traverse_keys(a__						)

			assert len(set(traverse_keys(skip_list.head						)						)						) == 4

def 	__UpperCAmelCase       ( )->    Optional[Any]:



			"""simple docstring"""



			def is_sorted(__magic_name__						):
						return all(next_item >= item for item, next_item in zip(a__     ,lst[1:]						)						)

			snake_case_				:					Dict   =       SkipList()
			for i in range(10						):
						skip_list.insert(a__     ,a__						)
			assert is_sorted(list(a__						)						)
			skip_list.delete(5						)
			skip_list.delete(8						)
			skip_list.delete(2						)
			assert is_sorted(list(a__						)						)
			skip_list.insert(-12     ,-12						)
			skip_list.insert(77     ,77						)
			assert is_sorted(list(a__						)						)

def 	__UpperCAmelCase       ( )->    Dict:



			"""simple docstring"""



			for _ in range(100						):
						# Repeat test 100 times due to the probabilistic nature of skip list
						# random values == random bugs
						test_insert()
						test_insert_overrides_existing_value()

						test_searching_empty_list_returns_none()
						test_search()

						test_deleting_item_from_empty_list_do_nothing()
						test_deleted_items_are_not_founded_by_find_method()
						test_delete_removes_only_given_key()
						test_delete_doesnt_leave_dead_nodes()

						test_iter_always_yields_sorted_values()

def 	__UpperCAmelCase       ( )->    str:



			"""simple docstring"""



			snake_case_				:					Tuple   =       SkipList()
			skip_list.insert(2     ,"2"						)
			skip_list.insert(4     ,"4"						)
			skip_list.insert(6     ,"4"						)
			skip_list.insert(4     ,"5"						)
			skip_list.insert(8     ,"4"						)
			skip_list.insert(9     ,"4"						)

			skip_list.delete(4						)

			print(a__						)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()












'''simple docstring'''




import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, 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
from datasets.utils.py_utils import Literal


__lowerCamelCase   :					Optional[Any]   							=					datasets.utils.logging.get_logger(__name__)

__lowerCamelCase   :					List[str]   							=					['''names''', '''prefix''']
__lowerCamelCase   :					int   							=					['''warn_bad_lines''', '''error_bad_lines''', '''mangle_dupe_cols''']
__lowerCamelCase   :					str   							=					['''encoding_errors''', '''on_bad_lines''']
__lowerCamelCase   :					Optional[Any]   							=					['''date_format''']







@dataclass
class    A_	(datasets.BuilderConfig							):
							"""simple docstring"""




							a__   		=	","
							a__   		=	None
							a__   		=	"infer"
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	True
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	False
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	True
							a__   		=	True
							a__   		=	False
							a__   		=	True
							a__   		=	None
							a__   		=	"."
							a__   		=	None
							a__   		=	'"'
							a__   		=	0
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	None
							a__   		=	True
							a__   		=	True
							a__   		=	0
							a__   		=	True
							a__   		=	False
							a__   		=	None
							a__   		=	10000
							a__   		=	None
							a__   		=	"strict"
							a__   		=	"error"
							a__   		=	None

							def 							_A	(		self			:List[str]				)				->  Any:


										'''simple docstring'''




										if self.delimiter is not None:
													snake_case_				:					Tuple   =       self.delimiter
										if self.column_names is not None:
													snake_case_				:					List[Any]   =       self.column_names






							@property
							def 							_A	(		self			:Optional[Any]				)				->  int:


										'''simple docstring'''




										snake_case_				:					Optional[int]   =       {
										    "sep": self.sep,
										    "header": self.header,
										    "names": self.names,
										    "index_col": self.index_col,
										    "usecols": self.usecols,
										    "prefix": self.prefix,
										    "mangle_dupe_cols": self.mangle_dupe_cols,
										    "engine": self.engine,
										    "converters": self.converters,
										    "true_values": self.true_values,
										    "false_values": self.false_values,
										    "skipinitialspace": self.skipinitialspace,
										    "skiprows": self.skiprows,
										    "nrows": self.nrows,
										    "na_values": self.na_values,
										    "keep_default_na": self.keep_default_na,
										    "na_filter": self.na_filter,
										    "verbose": self.verbose,
										    "skip_blank_lines": self.skip_blank_lines,
										    "thousands": self.thousands,
										    "decimal": self.decimal,
										    "lineterminator": self.lineterminator,
										    "quotechar": self.quotechar,
										    "quoting": self.quoting,
										    "escapechar": self.escapechar,
										    "comment": self.comment,
										    "encoding": self.encoding,
										    "dialect": self.dialect,
										    "error_bad_lines": self.error_bad_lines,
										    "warn_bad_lines": self.warn_bad_lines,
										    "skipfooter": self.skipfooter,
										    "doublequote": self.doublequote,
										    "memory_map": self.memory_map,
										    "float_precision": self.float_precision,
										    "chunksize": self.chunksize,
										    "encoding_errors": self.encoding_errors,
										    "on_bad_lines": self.on_bad_lines,
										    "date_format": self.date_format,
										}

										# some kwargs must not be passed if they don't have a default value
										# some others are deprecated and we can also not pass them if they are the default value
										for pd_read_csv_parameter in _PANDAS_READ_CSV_NO_DEFAULT_PARAMETERS + _PANDAS_READ_CSV_DEPRECATED_PARAMETERS:
													if pd_read_csv_kwargs[pd_read_csv_parameter] == getattr(CsvConfig()       ,							lowerCAmelCase__				):
																del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 2.0 new arguments
										if not (datasets.config.PANDAS_VERSION.major >= 2):
													for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_2_0_0_PARAMETERS:
																del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 1.3 new arguments
										if not (datasets.config.PANDAS_VERSION.major >= 1 and datasets.config.PANDAS_VERSION.minor >= 3):
													for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_1_3_0_PARAMETERS:
																del pd_read_csv_kwargs[pd_read_csv_parameter]

										return pd_read_csv_kwargs







class    A_	(datasets.ArrowBasedBuilder							):
							"""simple docstring"""




							a__   		=	CsvConfig

							def 							_A	(		self			:Optional[Any]				)				->  Optional[Any]:


										'''simple docstring'''




										return datasets.DatasetInfo(features=self.config.features				)

							def 							_A	(		self			:Tuple       ,							lowerCAmelCase__			:Dict				)				->  List[Any]:


										'''simple docstring'''




										if not self.config.data_files:
													raise ValueError(F'''At least one data file must be specified, but got data_files={self.config.data_files}'''				)
										snake_case_				:					Optional[Any]   =       dl_manager.download_and_extract(self.config.data_files				)
										if isinstance(lowerCAmelCase__       ,							(str, list, tuple)				):
													snake_case_				:					int   =       data_files
													if isinstance(lowerCAmelCase__       ,							lowerCAmelCase__				):
																snake_case_				:					List[str]   =       [files]
													snake_case_				:					Tuple   =       [dl_manager.iter_files(lowerCAmelCase__				) for file in files]
													return [datasets.SplitGenerator(name=datasets.Split.TRAIN       ,							gen_kwargs={"files": files}				)]
										snake_case_				:					str   =       []
										for split_name, files in data_files.items():
													if isinstance(lowerCAmelCase__       ,							lowerCAmelCase__				):
																snake_case_				:					str   =       [files]
													snake_case_				:					Any   =       [dl_manager.iter_files(lowerCAmelCase__				) for file in files]
													splits.append(datasets.SplitGenerator(name=lowerCAmelCase__       ,							gen_kwargs={"files": files}				)				)
										return splits

							def 							_A	(		self			:List[Any]       ,							lowerCAmelCase__			:pa.Table				)				->  pa.Table:


										'''simple docstring'''




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






							def 							_A	(		self			:Dict       ,							lowerCAmelCase__			:Union[str, Any]				)				->  Optional[int]:


										'''simple docstring'''




										snake_case_				:					Tuple   =       self.config.features.arrow_schema if self.config.features else None
										# dtype allows reading an int column as str
										snake_case_				:					str   =       (
										    {
										        name: dtype.to_pandas_dtype() if not require_storage_cast(lowerCAmelCase__				) else object
										        for name, dtype, feature in zip(schema.names       ,							schema.types       ,							self.config.features.values()				)
										    }
										    if schema is not None
										    else None
										)
										for file_idx, file in enumerate(itertools.chain.from_iterable(lowerCAmelCase__				)				):
													snake_case_				:					Tuple   =       pd.read_csv(lowerCAmelCase__       ,							iterator=lowerCAmelCase__       ,							dtype=lowerCAmelCase__       ,							**self.config.pd_read_csv_kwargs				)
													try:
																for batch_idx, df in enumerate(lowerCAmelCase__				):
																			snake_case_				:					Optional[int]   =       pa.Table.from_pandas(lowerCAmelCase__				)
																			# Uncomment for debugging (will print the Arrow table size and elements)
																			# logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
																			# logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
																			yield (file_idx, batch_idx), self._cast_table(lowerCAmelCase__				)
													except ValueError as e:
																logger.error(F'''Failed to read file \'{file}\' with error {type(lowerCAmelCase__				)}: {e}'''				)
																raise




