

'''simple docstring'''

import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


UpperCAmelCase       =     {
    '''<''': operator.lt,
    '''<=''': operator.le,
    '''==''': operator.eq,
    '''!=''': operator.ne,
    '''>=''': operator.ge,
    '''>''': operator.gt,
}

def  __UpperCamelCase							(		lowercase__  :     Union[str, Any],    lowercase__  :     str,    lowercase__  :     Tuple,    lowercase__  :     Optional[Any],    lowercase__  :     Any,    lowercase__  :     List[str]       ):






     '''simple docstring'''





     if got_ver is None or want_ver is None:
          raise ValueError(
              F'''Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider'''
              F''' reinstalling {pkg}.'''       )
     if not ops[op](version.parse(lowerCAmelCase__       ),    version.parse(lowerCAmelCase__       )       ):
          raise ImportError(
              F'''{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'''       )

def  __UpperCamelCase							(		lowercase__  :     Any,    lowercase__  :     int = None       ):






     '''simple docstring'''





     __lowercase							=F'''\n{hint}''' if hint is not None else ''''''

     # non-versioned check
     if re.match(R'^[\w_\-\d]+$',    lowerCAmelCase__       ):
          __lowercase							=requirement, None, None
     else:
          __lowercase							=re.findall(R'^([^!=<>\s]+)([\s!=<>]{1,2}.+)',    lowerCAmelCase__       )
          if not match:
               raise ValueError(
                   'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'
                   F''' got {requirement}'''       )
          __lowercase							=match[0]
          __lowercase							=want_full.split(','       )  # there could be multiple requirements
          __lowercase							={}
          for w in want_range:
               __lowercase							=re.findall(R'^([\s!=<>]{1,2})(.+)',    lowerCAmelCase__       )
               if not match:
                    raise ValueError(
                        'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'
                        F''' but got {requirement}'''       )
               __lowercase							=match[0]
               __lowercase							=want_ver
               if op not in ops:
                    raise ValueError(F'''{requirement}: need one of {list(ops.keys()       )}, but got {op}'''       )

    # special case
     if pkg == "python":
          __lowercase							='''.'''.join([str(lowerCAmelCase__       ) for x in sys.version_info[:3]]       )
          for op, want_ver in wanted.items():
               _compare_versions(lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__       )
          return

     # check if any version is installed
     try:
          __lowercase							=importlib.metadata.version(lowerCAmelCase__       )
     except importlib.metadata.PackageNotFoundError:
          raise importlib.metadata.PackageNotFoundError(
              F'''The \'{requirement}\' distribution was not found and is required by this application. {hint}'''       )

     # check that the right version is installed if version number or a range was provided
     if want_ver is not None:
          for op, want_ver in wanted.items():
               _compare_versions(lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__,    lowerCAmelCase__       )







def  __UpperCamelCase							(		lowercase__  :     Tuple       ):






     '''simple docstring'''





     __lowercase							='''Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'''
     return require_version(lowerCAmelCase__,    lowerCAmelCase__       )






'''simple docstring'''
import multiprocessing
import os
from typing import BinaryIO, Optional, Union

import fsspec

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




class 			lowerCamelCase_   (	__a      ):






      def __init__(					self				:    List[str]						,						_A				:    NestedDataStructureLike[PathLike]						,						_A				:    Optional[NamedSplit] = None						,						_A				:    Optional[Features] = None						,						_A				:    str = None						,						_A				:    bool = False						,						_A				:    bool = False						,						_A				:    Optional[str] = None						,						_A				:    Optional[int] = None						,						**_A				:    Union[str, Any]						,						):


          '''simple docstring'''


          super().__init__(
              _A						,						split=_A						,						features=_A						,						cache_dir=_A						,						keep_in_memory=_A						,						streaming=_A						,						num_proc=_A						,						**_A						,						)
          UpperCAmelCase__			:		List[str]													=				field
          UpperCAmelCase__			:		Optional[Any]													=				path_or_paths if isinstance(_A						,						_A ) else {self.split: path_or_paths}
          UpperCAmelCase__			:		Any													=				Json(
              cache_dir=_A						,						data_files=_A						,						features=_A						,						field=_A						,						**_A						,						)






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


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

              self.builder.download_and_prepare(
                  download_config=_A						,						download_mode=_A						,						verification_mode=_A						,						base_path=_A						,						num_proc=self.num_proc						,						)
              UpperCAmelCase__			:		str													=				self.builder.as_dataset(
                  split=self.split						,						verification_mode=_A						,						in_memory=self.keep_in_memory )
          return dataset




class 			lowerCamelCase_   :






      def __init__(					self				:    Optional[Any]						,						_A				:    Dataset						,						_A				:    Union[PathLike, BinaryIO]						,						_A				:    Optional[int] = None						,						_A				:    Optional[int] = None						,						**_A				:    List[str]						,						):


          '''simple docstring'''


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

          UpperCAmelCase__			:		Dict													=				dataset
          UpperCAmelCase__			:		Any													=				path_or_buf
          UpperCAmelCase__			:		List[str]													=				batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
          UpperCAmelCase__			:		Tuple													=				num_proc
          UpperCAmelCase__			:		Any													=				'''utf-8'''
          UpperCAmelCase__			:		Optional[int]													=				to_json_kwargs






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[str]													=				self.to_json_kwargs.pop('''path_or_buf'''						,						_A )
          UpperCAmelCase__			:		Optional[int]													=				self.to_json_kwargs.pop('''orient'''						,						'''records''' )
          UpperCAmelCase__			:		Tuple													=				self.to_json_kwargs.pop('''lines'''						,						True if orient == '''records''' else False )
          UpperCAmelCase__			:		str													=				self.to_json_kwargs.pop('''index'''						,						False if orient in ['''split''', '''table'''] else True )
          UpperCAmelCase__			:		Optional[Any]													=				self.to_json_kwargs.pop('''compression'''						,						_A )

          if compression not in [None, "infer", "gzip", "bz2", "xz"]:
              raise NotImplementedError(f"""`datasets` currently does not support {compression} compression""" )

          if isinstance(self.path_or_buf						,						(str, bytes, os.PathLike) ):
              with fsspec.open(self.path_or_buf						,						'''wb'''						,						compression=_A ) as buffer:
                  UpperCAmelCase__			:		Union[str, Any]													=				self._write(file_obj=_A						,						orient=_A						,						lines=_A						,						index=_A						,						**self.to_json_kwargs )
          else:
              if compression:
                  raise NotImplementedError(
                      f"""The compression parameter is not supported when writing to a buffer, but compression={compression}"""
                      ''' was passed. Please provide a local path instead.''' )
              UpperCAmelCase__			:		Union[str, Any]													=				self._write(
                  file_obj=self.path_or_buf						,						orient=_A						,						lines=_A						,						index=_A						,						**self.to_json_kwargs )
          return written






      def lowercase_							(					self				:    Optional[int]						,						_A				:    Optional[Any] ):


          '''simple docstring'''


          UpperCAmelCase__						,						UpperCAmelCase__						,						UpperCAmelCase__						,						UpperCAmelCase__						,						UpperCAmelCase__			:		Dict													=				args

          UpperCAmelCase__			:		Dict													=				query_table(
              table=self.dataset.data						,						key=slice(_A						,						offset + self.batch_size )						,						indices=self.dataset._indices						,						)
          UpperCAmelCase__			:		str													=				batch.to_pandas().to_json(
              path_or_buf=_A						,						orient=_A						,						lines=_A						,						index=_A						,						**_A )
          if not json_str.endswith('''\n''' ):
              json_str += "\n"
          return json_str.encode(self.encoding )






      def lowercase_							(					self				:    Union[str, Any]						,						_A				:    BinaryIO						,						_A				:    Optional[int]						,						_A				:    int						,						_A				:    Any						,						**_A				:    Any						,						):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				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 json from Arrow format'''						,						):
                  UpperCAmelCase__			:		Optional[int]													=				self._batch_json((offset, orient, lines, index, to_json_kwargs) )
                  written += file_obj.write(_A )
          else:
              UpperCAmelCase__						,						UpperCAmelCase__			:		str													=				len(self.dataset ), self.batch_size
              with multiprocessing.Pool(self.num_proc ) as pool:
                  for json_str in logging.tqdm(
                      pool.imap(
                          self._batch_json						,						[(offset, orient, lines, index, to_json_kwargs) for offset in range(0						,						_A						,						_A )]						,						)						,						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 json from Arrow format'''						,						):
                      written += file_obj.write(_A )

          return written
