
from typing import List

from .keymap import KEYMAP, get_character

def lowercase_						(     _snake_case		):







							def decorator(_snake_case		):
														SCREAMING_SNAKE_CASE__		: List[Any]     =     getattr(lowercase__     ,"""handle_key"""     ,[]		)
														handle += [key]
														setattr(lowercase__     ,"""handle_key"""     ,lowercase__		)
														return func

							return decorator

def lowercase_						(     *_snake_case		):







							def decorator(_snake_case		):
														SCREAMING_SNAKE_CASE__		: Optional[int]     =     getattr(lowercase__     ,"""handle_key"""     ,[]		)
														handle += keys
														setattr(lowercase__     ,"""handle_key"""     ,lowercase__		)
														return func

							return decorator



class 			lowerCAmelCase_		(__a						):


				"""simple docstring"""



				def __new__(cls     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)      ->	Optional[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: Optional[int]     =     super().__new__(cls     , lowerCAmelCase_     , lowerCAmelCase_     , lowerCAmelCase_					)
											if not hasattr(lowerCAmelCase_     , """key_handler"""					):
																		setattr(lowerCAmelCase_     , """key_handler"""     , {}					)
											setattr(lowerCAmelCase_     , """handle_input"""     , KeyHandler.handle_input					)

											for value in attrs.values():
																		SCREAMING_SNAKE_CASE__		: str     =     getattr(lowerCAmelCase_     , """handle_key"""     , []					)
																		for key in handled_keys:
																									SCREAMING_SNAKE_CASE__		: Optional[int]     =     value
											return new_cls



				@staticmethod
				def 			__magic_name__					(cls					)      ->	Optional[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: Any     =     get_character()
											if char != KEYMAP["undefined"]:
																		SCREAMING_SNAKE_CASE__		: List[str]     =     ord(lowerCAmelCase_					)
											SCREAMING_SNAKE_CASE__		: List[str]     =     cls.key_handler.get(lowerCAmelCase_					)
											if handler:
																		SCREAMING_SNAKE_CASE__		: List[Any]     =     char
																		return handler(cls					)
											else:
																		return None






def lowercase_						(     cls		):
							return KeyHandler(cls.__name__     ,cls.__bases__     ,cls.__dict__.copy()		)






"""simple docstring"""




import itertools
from dataclasses import dataclass
from typing import Optional

import pandas as pd
import pyarrow as pa

import datasets
from datasets.table import table_cast



@dataclass
class 			lowerCAmelCase_		(datasets.BuilderConfig						):


				"""simple docstring"""



				__UpperCamelCase   :		Optional[datasets.Features]       =     None






class 			lowerCAmelCase_		(datasets.ArrowBasedBuilder						):


				"""simple docstring"""



				__UpperCamelCase   :		Union[str, Any]       =     PandasConfig



				def 			__magic_name__					(self					)      ->	List[str]:



											"""simple docstring"""




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



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__					)      ->	Optional[int]:



											"""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}'''					)
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     dl_manager.download_and_extract(self.config.data_files					)
											if isinstance(SCREAMING_SNAKE_CASE__     , (str, list, tuple)					):
																		SCREAMING_SNAKE_CASE__		: Tuple     =     data_files
																		if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
																									SCREAMING_SNAKE_CASE__		: Optional[Any]     =     [files]
																		# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
																		SCREAMING_SNAKE_CASE__		: str     =     [dl_manager.iter_files(SCREAMING_SNAKE_CASE__					) for file in files]
																		return [datasets.SplitGenerator(name=datasets.Split.TRAIN     , gen_kwargs={"""files""": files}					)]
											SCREAMING_SNAKE_CASE__		: int     =     []
											for split_name, files in data_files.items():
																		if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
																									SCREAMING_SNAKE_CASE__		: List[str]     =     [files]
																		# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
																		SCREAMING_SNAKE_CASE__		: Dict     =     [dl_manager.iter_files(SCREAMING_SNAKE_CASE__					) for file in files]
																		splits.append(datasets.SplitGenerator(name=SCREAMING_SNAKE_CASE__     , gen_kwargs={"""files""": files}					)					)
											return splits



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__					)      ->	pa.Table:



											"""simple docstring"""




											if self.config.features is not None:
																		# more expensive cast to support nested features with keys in a different order
																		# allows str <-> int/float or str to Audio for example
																		SCREAMING_SNAKE_CASE__		: Tuple     =     table_cast(SCREAMING_SNAKE_CASE__     , self.config.features.arrow_schema					)
											return pa_table



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__					)      ->	Optional[Any]:



											"""simple docstring"""




											for i, file in enumerate(itertools.chain.from_iterable(SCREAMING_SNAKE_CASE__					)					):
																		with open(SCREAMING_SNAKE_CASE__     , """rb"""					) as f:
																									SCREAMING_SNAKE_CASE__		: List[str]     =     pa.Table.from_pandas(pd.read_pickle(SCREAMING_SNAKE_CASE__					)					)
																									yield i, self._cast_table(SCREAMING_SNAKE_CASE__					)




