





"""simple docstring"""





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


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

@dataclass
class 		lowercase ( datasets.BuilderConfig ):
      _SCREAMING_SNAKE_CASE         =				None
      _SCREAMING_SNAKE_CASE         =				"utf-8"
      _SCREAMING_SNAKE_CASE         =				None
      _SCREAMING_SNAKE_CASE         =				10 << 20  # 10MB
      _SCREAMING_SNAKE_CASE         =				False
      _SCREAMING_SNAKE_CASE         =				"line"







class 		lowercase ( datasets.ArrowBasedBuilder ):
      _SCREAMING_SNAKE_CASE         =				TextConfig





      def    _snake_case      (	self			)		->					Optional[Any]:
            return datasets.DatasetInfo(features=self.config.features			)





      def    _snake_case      (	self				,						lowercase			)		->					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}'			)
            lowerCAmelCase  						=	dl_manager.download_and_extract(self.config.data_files			)
            if isinstance(UpperCamelCase__				,						(str, list, tuple)			):
                  lowerCAmelCase  						=	data_files
                  if isinstance(UpperCamelCase__				,						UpperCamelCase__			):
                        lowerCAmelCase  						=	[files]
                  lowerCAmelCase  						=	[dl_manager.iter_files(UpperCamelCase__			) for file in files]
                  return [datasets.SplitGenerator(name=datasets.Split.TRAIN				,						gen_kwargs={"""files""": files}			)]
            lowerCAmelCase  						=	[]
            for split_name, files in data_files.items():
                  if isinstance(UpperCamelCase__				,						UpperCamelCase__			):
                        lowerCAmelCase  						=	[files]
                  lowerCAmelCase  						=	[dl_manager.iter_files(UpperCamelCase__			) for file in files]
                  splits.append(datasets.SplitGenerator(name=UpperCamelCase__				,						gen_kwargs={"""files""": files}			)			)
            return splits





      def    _snake_case      (	self				,						lowercase			)		->					pa.Table:
            if self.config.features is not None:
                  lowerCAmelCase  						=	self.config.features.arrow_schema
                  if all(not require_storage_cast(UpperCamelCase__			) for feature in self.config.features.values()			):
                        # cheaper cast
                        lowerCAmelCase  						=	pa_table.cast(UpperCamelCase__			)
                  else:
                        # more expensive cast; allows str <-> int/float or str to Audio for example
                        lowerCAmelCase  						=	table_cast(UpperCamelCase__				,						UpperCamelCase__			)
                  return pa_table
            else:
                  return pa_table.cast(pa.schema({"""text""": pa.string()}			)			)





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













"""simple docstring"""





SCREAMING_SNAKE_CASE__ =       [0.33, 0.44, 0.55, 0.44, 0.33]
SCREAMING_SNAKE_CASE__ =       3
SCREAMING_SNAKE_CASE__ =       5

# Buffer Space (with Parameters Space)
SCREAMING_SNAKE_CASE__ =       []
SCREAMING_SNAKE_CASE__ =       []

# Machine Time
SCREAMING_SNAKE_CASE__ =       0


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Tuple      ):







      '''simple docstring'''




      global buffer_space, params_space, machine_time, K, m, t

      # Choosing Dynamical Systems (All)
      for key, value in enumerate(SCREAMING_SNAKE_CASE      ):
            # Evolution Parameter
            lowerCAmelCase  						=	float(seed / value      )

            # Control Theory: Orbit Change
            lowerCAmelCase  						=	(buffer_space[(key + 1) % m] + e) % 1

            # Control Theory: Trajectory Change
            lowerCAmelCase  						=	(params_space[key] + e) % 1 + 3

            # Modification (Transition Function) - Jumps
            lowerCAmelCase  						=	round(float(r * value * (1 - value)      )							,						10      )
            lowerCAmelCase  						=	r  # Saving to Parameters Space

      # Logistic Map
      assert max(SCREAMING_SNAKE_CASE      ) < 1
      assert max(SCREAMING_SNAKE_CASE      ) < 4

      # Machine Time
      machine_time += 1


def       UpperCAmelCase__							(  ):







      '''simple docstring'''




      global buffer_space, params_space, machine_time, K, m, t

      # PRNG (Xorshift by George Marsaglia)
      def xorshift(SCREAMING_SNAKE_CASE					:						List[str]							,						SCREAMING_SNAKE_CASE					:						Tuple      ):
            x ^= y >> 13
            y ^= x << 17
            x ^= y >> 5
            return x

      # Choosing Dynamical Systems (Increment)
      lowerCAmelCase  						=	machine_time % m

      # Evolution (Time Length)
      for _ in range(0							,						SCREAMING_SNAKE_CASE      ):
            # Variables (Position + Parameters)
            lowerCAmelCase  						=	params_space[key]
            lowerCAmelCase  						=	buffer_space[key]

            # Modification (Transition Function) - Flow
            lowerCAmelCase  						=	round(float(r * value * (1 - value)      )							,						10      )
            lowerCAmelCase  						=	(machine_time * 0.01 + r * 1.01) % 1 + 3

      # Choosing Chaotic Data
      lowerCAmelCase  						=	int(buffer_space[(key + 2) % m] * (10**10)      )
      lowerCAmelCase  						=	int(buffer_space[(key - 2) % m] * (10**10)      )

      # Machine Time
      machine_time += 1

      return xorshift(SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE      ) % 0xff_fff_fff


def       UpperCAmelCase__							(  ):







      '''simple docstring'''




      global buffer_space, params_space, machine_time, K, m, t

      lowerCAmelCase  						=	K
      lowerCAmelCase  						=	[0] * m
      lowerCAmelCase  						=	0


if __name__ == "__main__":
       # Initialization
       reset()

       # Pushing Data (Input)
       import random

       SCREAMING_SNAKE_CASE__ =       random.sample(range(0Xf_f_f_f_f_f_f_f), 100)
       for chunk in message:
              push(chunk)

       # for controlling
       SCREAMING_SNAKE_CASE__ =       ""

       # Pulling Data (Output)
       while inp in ("e", "E"):
              print(f'{format(pull(), "#04x")}')
              print(buffer_space)
              print(params_space)
              SCREAMING_SNAKE_CASE__ =       input("(e)exit? ").strip()






