




import multiprocessing
import os
from typing import BinaryIO, Optional, Union

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.csv.csv import Csv
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader







class     UpperCAmelCase_		(      _UpperCAmelCase				):



      """simple docstring"""
      def __init__(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_ = None					,       SCREAMING_SNAKE_CASE_ = None					,       SCREAMING_SNAKE_CASE_ = None					,       SCREAMING_SNAKE_CASE_ = False					,       SCREAMING_SNAKE_CASE_ = False					,       SCREAMING_SNAKE_CASE_ = None					,       **SCREAMING_SNAKE_CASE_					,       )       ->   List[Any]:
          super().__init__(
              SCREAMING_SNAKE_CASE_					,       split=SCREAMING_SNAKE_CASE_					,       features=SCREAMING_SNAKE_CASE_					,       cache_dir=SCREAMING_SNAKE_CASE_					,       keep_in_memory=SCREAMING_SNAKE_CASE_					,       streaming=SCREAMING_SNAKE_CASE_					,       num_proc=SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_					,       )
          UpperCamelCase :List[Any]										=     path_or_paths if isinstance(SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				) else {self.split: path_or_paths}
          UpperCamelCase :Tuple										=     Csv(
              cache_dir=SCREAMING_SNAKE_CASE_					,       data_files=SCREAMING_SNAKE_CASE_					,       features=SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_					,       )




      def 					UpperCAmelCase		(       self				)       ->   Optional[int]:






          if self.streaming:
              UpperCamelCase :Dict										=     self.builder.as_streaming_dataset(split=self.split				)
          # Build regular (map-style) dataset
          else:
              UpperCamelCase :int										=     None
              UpperCamelCase :List[str]										=     None
              UpperCamelCase :int										=     None
              UpperCamelCase :List[Any]										=     None

              self.builder.download_and_prepare(
                  download_config=SCREAMING_SNAKE_CASE_					,       download_mode=SCREAMING_SNAKE_CASE_					,       verification_mode=SCREAMING_SNAKE_CASE_					,       base_path=SCREAMING_SNAKE_CASE_					,       num_proc=self.num_proc					,       )
              UpperCamelCase :Optional[int]										=     self.builder.as_dataset(
                  split=self.split					,       verification_mode=SCREAMING_SNAKE_CASE_					,       in_memory=self.keep_in_memory				)
          return dataset







class     UpperCAmelCase_		:



      """simple docstring"""
      def __init__(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_ = None					,       SCREAMING_SNAKE_CASE_ = None					,       **SCREAMING_SNAKE_CASE_					,       )       ->   Dict:






          if num_proc is not None and num_proc <= 0:
              raise ValueError(F'''num_proc {num_proc} must be an integer > 0.'''				)

          UpperCamelCase :Any										=     dataset
          UpperCamelCase :str										=     path_or_buf
          UpperCamelCase :str										=     batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
          UpperCamelCase :List[str]										=     num_proc
          UpperCamelCase :List[Any]										=     '''utf-8'''
          UpperCamelCase :int										=     to_csv_kwargs
      def 					UpperCAmelCase		(       self				)       ->   Optional[Any]:
          UpperCamelCase :List[str]										=     self.to_csv_kwargs.pop('''path_or_buf'''					,       SCREAMING_SNAKE_CASE_				)
          UpperCamelCase :Optional[int]										=     self.to_csv_kwargs.pop('''header'''					,       SCREAMING_SNAKE_CASE_				)
          UpperCamelCase :str										=     self.to_csv_kwargs.pop('''index'''					,       SCREAMING_SNAKE_CASE_				)

          if isinstance(self.path_or_buf					,       (str, bytes, os.PathLike)				):
              with open(self.path_or_buf					,       '''wb+'''				) as buffer:
                  UpperCamelCase :Union[str, Any]										=     self._write(file_obj=SCREAMING_SNAKE_CASE_					,       header=SCREAMING_SNAKE_CASE_					,       index=SCREAMING_SNAKE_CASE_					,       **self.to_csv_kwargs				)
          else:
              UpperCamelCase :Optional[Any]										=     self._write(file_obj=self.path_or_buf					,       header=SCREAMING_SNAKE_CASE_					,       index=SCREAMING_SNAKE_CASE_					,       **self.to_csv_kwargs				)
          return written
      def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   Optional[int]:
          UpperCamelCase							,     UpperCamelCase							,     UpperCamelCase							,     UpperCamelCase :Tuple										=     args

          UpperCamelCase :Union[str, Any]										=     query_table(
              table=self.dataset.data					,       key=slice(SCREAMING_SNAKE_CASE_					,       offset + self.batch_size				)					,       indices=self.dataset._indices					,       )
          UpperCamelCase :Dict										=     batch.to_pandas().to_csv(
              path_or_buf=SCREAMING_SNAKE_CASE_					,       header=header if (offset == 0) else False					,       index=SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				)
          return csv_str.encode(self.encoding				)




      def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				)       ->   int:
          UpperCamelCase :int										=     0

          if self.num_proc is None or self.num_proc == 1:
              for offset in logging.tqdm(
                  range(0					,       len(self.dataset				)					,       self.batch_size				)					,       unit='''ba'''					,       disable=not logging.is_progress_bar_enabled()					,       desc='''Creating CSV from Arrow format'''					,       ):
                  UpperCamelCase :Tuple										=     self._batch_csv((offset, header, index, to_csv_kwargs)				)
                  written += file_obj.write(SCREAMING_SNAKE_CASE_				)

          else:
              UpperCamelCase							,     UpperCamelCase :str										=     len(self.dataset				), self.batch_size
              with multiprocessing.Pool(self.num_proc				) as pool:
                  for csv_str in logging.tqdm(
                      pool.imap(
                          self._batch_csv					,       [(offset, header, index, to_csv_kwargs) for offset in range(0					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				)]					,       )					,       total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size					,       unit='''ba'''					,       disable=not logging.is_progress_bar_enabled()					,       desc='''Creating CSV from Arrow format'''					,       ):
                      written += file_obj.write(SCREAMING_SNAKE_CASE_				)

          return written













from __future__ import annotations

from typing import Generic, TypeVar

__snake_case							      =						TypeVar("""T""")







class     UpperCAmelCase_		(      lowercase				):



      """simple docstring"""
      pass







class     UpperCAmelCase_		(      lowercase				):



      """simple docstring"""
      pass







class     UpperCAmelCase_		(      Generic[T]				):



      """simple docstring"""
      def __init__(       self					,       SCREAMING_SNAKE_CASE_ = 10				)       ->   List[str]:
          UpperCamelCase :list[T]										=     []
          UpperCamelCase :Any										=     limit
      def __bool__(       self				)       ->   bool:
          return bool(self.stack				)
      def __str__(       self				)       ->   str:
          return str(self.stack				)
      def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   None:
          if len(self.stack				) >= self.limit:
              raise StackOverflowError
          self.stack.append(SCREAMING_SNAKE_CASE_				)
      def 					UpperCAmelCase		(       self				)       ->   T:
          if not self.stack:
              raise StackUnderflowError
          return self.stack.pop()
      def 					UpperCAmelCase		(       self				)       ->   T:
          if not self.stack:
              raise StackUnderflowError
          return self.stack[-1]
      def 					UpperCAmelCase		(       self				)       ->   bool:
          return not bool(self.stack				)
      def 					UpperCAmelCase		(       self				)       ->   bool:
          return self.size() == self.limit
      def 					UpperCAmelCase		(       self				)       ->   int:
          return len(self.stack				)




      def __contains__(       self					,       SCREAMING_SNAKE_CASE_				)       ->   bool:
          return item in self.stack







def 						_A     (       ):
    UpperCamelCase :Stack[int]										=     Stack(10 )
    assert bool(SCREAMING_SNAKE_CASE__ ) is False
    assert stack.is_empty() is True
    assert stack.is_full() is False
    assert str(SCREAMING_SNAKE_CASE__ ) == "[]"

    try:
        UpperCamelCase :Optional[int]										=     stack.pop()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    try:
        UpperCamelCase :Union[str, Any]										=     stack.peek()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    for i in range(10 ):
        assert stack.size() == i
        stack.push(SCREAMING_SNAKE_CASE__ )

    assert bool(SCREAMING_SNAKE_CASE__ )
    assert not stack.is_empty()
    assert stack.is_full()
    assert str(SCREAMING_SNAKE_CASE__ ) == str(list(range(10 ) ) )
    assert stack.pop() == 9
    assert stack.peek() == 8

    stack.push(100 )
    assert str(SCREAMING_SNAKE_CASE__ ) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100] )

    try:
        stack.push(200 )
        raise AssertionError  # This should not happen
    except StackOverflowError:
        assert True  # This should happen

    assert not stack.is_empty()
    assert stack.size() == 10

    assert 5 in stack
    assert 55 not in stack


if __name__ == "__main__":
 test_stack()





