
import itertools
from dataclasses import dataclass
from io import StringIO
from typing import Optional

import pyarrow as pa

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


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




@dataclass
class     _SCREAMING_SNAKE_CASE     (					datasets.BuilderConfig       ):
      _A  :						Optional[datasets.Features]					=   None
      _A  :						str					=   "utf-8"
      _A  :						Optional[str]					=   None
      _A  :						int					=   10 << 20  # 10MB
      _A  :						bool					=   False
      _A  :						str					=   "line"





class     _SCREAMING_SNAKE_CASE     (					datasets.ArrowBasedBuilder       ):
      _A  :						Dict					=   TextConfig
      def A_	(	self       ):
          return datasets.DatasetInfo(features=self.config.features       )
      def A_	(	self						,		lowerCamelCase       ):
          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__  = dl_manager.download_and_extract(self.config.data_files       )
          if isinstance(lowerCamelCase_						,		(str, list, tuple)       ):
              snake_case__  = data_files
              if isinstance(lowerCamelCase_						,		lowerCamelCase_       ):
                  snake_case__  = [files]
              snake_case__  = [dl_manager.iter_files(lowerCamelCase_       ) for file in files]
              return [datasets.SplitGenerator(name=datasets.Split.TRAIN						,		gen_kwargs={"files": files}       )]
          snake_case__  = []
          for split_name, files in data_files.items():
              if isinstance(lowerCamelCase_						,		lowerCamelCase_       ):
                  snake_case__  = [files]
              snake_case__  = [dl_manager.iter_files(lowerCamelCase_       ) for file in files]
              splits.append(datasets.SplitGenerator(name=lowerCamelCase_						,		gen_kwargs={"files": files}       )       )
          return splits
      def A_	(	self						,		lowerCamelCase       ):
          if self.config.features is not None:
              snake_case__  = self.config.features.arrow_schema
              if all(not require_storage_cast(lowerCamelCase_       ) for feature in self.config.features.values()       ):
                  # cheaper cast
                  snake_case__  = pa_table.cast(lowerCamelCase_       )
              else:
                  # more expensive cast; allows str <-> int/float or str to Audio for example
                  snake_case__  = table_cast(lowerCamelCase_						,		lowerCamelCase_       )
              return pa_table
          else:
              return pa_table.cast(pa.schema({"text": pa.string()}       )       )



      def A_	(	self						,		lowerCamelCase       ):
          snake_case__  = list(self.config.features       ) if self.config.features is not None else ["text"]
          for file_idx, file in enumerate(itertools.chain.from_iterable(lowerCamelCase_       )       ):
              # open in text mode, by default translates universal newlines ("\n", "\r\n" and "\r") into "\n"
              with open(lowerCamelCase_						,		encoding=self.config.encoding						,		errors=self.config.errors       ) as f:
                  if self.config.sample_by == "line":
                      snake_case__  = 0
                      while True:
                          snake_case__  = f.read(self.config.chunksize       )
                          if not batch:
                              break
                          batch += f.readline()  # finish current line
                          # StringIO.readlines, by default splits only on "\n" (and keeps line breaks)
                          snake_case__  = StringIO(lowerCamelCase_       ).readlines()
                          if not self.config.keep_linebreaks:
                              snake_case__  = [line.rstrip("\n"       ) for line in batch]
                          snake_case__  = pa.Table.from_arrays([pa.array(lowerCamelCase_       )]						,		names=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_       )
                          batch_idx += 1
                  elif self.config.sample_by == "paragraph":
                      snake_case__  = 0
                      snake_case__  = ""
                      while True:
                          snake_case__  = f.read(self.config.chunksize       )
                          if not new_batch:
                              break
                          batch += new_batch
                          batch += f.readline()  # finish current line
                          snake_case__  = batch.split("\n\n"       )
                          snake_case__  = pa.Table.from_arrays(
                              [pa.array([example for example in batch[:-1] if example]       )]						,		names=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_       )
                          batch_idx += 1
                          snake_case__  = batch[-1]
                      if batch:
                          snake_case__  = pa.Table.from_arrays([pa.array([batch]       )]						,		names=lowerCamelCase_       )
                          yield (file_idx, batch_idx), self._cast_table(lowerCamelCase_       )
                  elif self.config.sample_by == "document":
                      snake_case__  = f.read()
                      snake_case__  = pa.Table.from_arrays([pa.array([text]       )]						,		names=lowerCamelCase_       )
                      yield file_idx, self._cast_table(lowerCamelCase_       )







'''simple docstring'''






from .hash_table import HashTable
from .number_theory.prime_numbers import is_prime, next_prime




class 		a__				(							a__  ):





							'''simple docstring'''






							def __init__(		self					,    *lowerCamelCase_					,    **lowerCamelCase_   )       ->							Optional[int]:
														super().__init__(*lowerCamelCase_					,    **lowerCamelCase_   )







							def   __SCREAMING_SNAKE_CASE							(		self					,    lowerCamelCase_					,    lowerCamelCase_   )       ->							Optional[int]:
														lowerCAmelCase__          =	(
														    next_prime(value % self.size_table   )
														    if not is_prime(value % self.size_table   )
														    else value % self.size_table
														)  # gt = bigger than
														return next_prime_gt - (data % next_prime_gt)







							def   __SCREAMING_SNAKE_CASE							(		self					,    lowerCamelCase_					,    lowerCamelCase_					,    lowerCamelCase_   )       ->							Optional[int]:
														return (increment * self.__hash_function_a(lowerCamelCase_					,    lowerCamelCase_   )) % self.size_table







							def   __SCREAMING_SNAKE_CASE							(		self					,    lowerCamelCase_					,    lowerCamelCase_=None   )       ->							Any:
														lowerCAmelCase__          =	1
														lowerCAmelCase__          =	self.hash_function(lowerCamelCase_   )

														while self.values[new_key] is not None and self.values[new_key] != key:
																					lowerCAmelCase__          =	(
																					    self.__hash_double_function(lowerCamelCase_					,    lowerCamelCase_					,    lowerCamelCase_   )
																					    if self.balanced_factor() >= self.lim_charge
																					    else None
																					)
																					if new_key is None:
																												break
																					else:
																												i += 1

														return new_key