

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	):
	_lowercase		:   Optional[datasets.Features]     					=				None






class      lowerCamelCase_      (	datasets.ArrowBasedBuilder	):
	_lowercase		:   List[Any]     					=				PandasConfig




	def        lowerCAmelCase_       (     self						:     Union[str, Any]							):
		return datasets.DatasetInfo(features=self.config.features							)




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




	def        lowerCAmelCase_       (     self						:     List[Any]					,      __A						:     pa.Table							):
		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
			__A :			List[str]		    =			table_cast(__A					,      self.config.features.arrow_schema							)
		return pa_table




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








import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    '''The `inpainting.py` script is outdated. Please use directly `from diffusers import'''
    ''' StableDiffusionInpaintPipeline` instead.'''
)





