
"""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 		a__						(      lowercase__						):
   def __init__(			self	,    _a	,    _a = None	,    _a = None	,    _a = None	,    _a = False	,    _a = False	,    _a = None	,    _a = None	,    **_a	,    ):
          super().__init__(
              _a	,    split=_a	,    features=_a	,    cache_dir=_a	,    keep_in_memory=_a	,    streaming=_a	,    num_proc=_a	,    **_a	,    )
          lowercase    :				List[Any]       		=							field
          lowercase    :				List[Any]       		=							path_or_paths if isinstance(_a	,    _a				) else {self.split: path_or_paths}
          lowercase    :				int       		=							Json(
              cache_dir=_a	,    data_files=_a	,    features=_a	,    field=_a	,    **_a	,    )

   def 			__magic_name__			(			self				):






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

                 self.builder.download_and_prepare(
                     download_config=_a	,    download_mode=_a	,    verification_mode=_a	,    base_path=_a	,    num_proc=self.num_proc	,    )
                 lowercase    :				List[Any]       		=							self.builder.as_dataset(
                     split=self.split	,    verification_mode=_a	,    in_memory=self.keep_in_memory				)
          return dataset


class 		a__						:
   def __init__(			self	,    _a	,    _a	,    _a = None	,    _a = None	,    **_a	,    ):






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

          lowercase    :				Union[str, Any]       		=							dataset
          lowercase    :				Optional[Any]       		=							path_or_buf
          lowercase    :				Optional[int]       		=							batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
          lowercase    :				Any       		=							num_proc
          lowercase    :				Optional[Any]       		=							'utf-8'
          lowercase    :				Any       		=							to_json_kwargs
   def 			__magic_name__			(			self				):
          lowercase    :				List[str]       		=							self.to_json_kwargs.pop("path_or_buf"	,    _a				)
          lowercase    :				List[str]       		=							self.to_json_kwargs.pop("orient"	,    "records"				)
          lowercase    :				Dict       		=							self.to_json_kwargs.pop("lines"	,    True if orient == "records" else False				)
          lowercase    :				Optional[Any]       		=							self.to_json_kwargs.pop("index"	,    False if orient in ["split", "table"] else True				)
          lowercase    :				Union[str, 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:
                        lowercase    :				str       		=							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."				)
                 lowercase    :				List[Any]       		=							self._write(
                     file_obj=self.path_or_buf	,    orient=_a	,    lines=_a	,    index=_a	,    **self.to_json_kwargs				)
          return written
   def 			__magic_name__			(			self	,    _a				):
          lowercase    :				Optional[Any]       		=							args

          lowercase    :				Any       		=							query_table(
              table=self.dataset.data	,    key=slice(_a	,    offset + self.batch_size				)	,    indices=self.dataset._indices	,    )
          lowercase    :				List[Any]       		=							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 			__magic_name__			(			self	,    _a	,    _a	,    _a	,    _a	,    **_a	,    ):
          lowercase    :				Dict       		=							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"	,    ):
                        lowercase    :				Any       		=							self._batch_json((offset, orient, lines, index, to_json_kwargs)				)
                        written += file_obj.write(_a				)
          else:
                 lowercase    :				Optional[int]       		=							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




'''simple docstring'''







import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command







class UpperCAmelCase__	( unittest.TestCase	):





  """simple docstring"""

  __UpperCAmelCase				:				Optional[Any]   =					inspect.getfile(accelerate.test_utils	)
  __UpperCAmelCase				:				List[str]   =					os.path.sep.join(mod_file.split(os.path.sep	)[:-1] + ['''scripts''', '''test_cli.py''']	)

  __UpperCAmelCase				:				Dict   =					['''accelerate''', '''launch''']
  __UpperCAmelCase				:				Dict   =					Path.home() / '''.cache/huggingface/accelerate'''
  __UpperCAmelCase				:				Dict   =					'''default_config.yaml'''
  __UpperCAmelCase				:				Optional[Any]   =					config_folder / config_file
  __UpperCAmelCase				:				Dict   =					config_folder / '''_default_config.yaml'''

  __UpperCAmelCase				:				Any   =					Path('''tests/test_configs'''	)


  @classmethod
  def   __lowercase		(		cls      :     int       ):


     '''simple docstring'''






     if cls.config_path.is_file():
        cls.config_path.rename(cls.changed_path       )


  @classmethod
  def   __lowercase		(		cls      :     List[Any]       ):


     '''simple docstring'''






     if cls.changed_path.is_file():
        cls.changed_path.rename(cls.config_path       )


  def   __lowercase		(		self      :     Optional[int]       ):


     '''simple docstring'''






     _a				:	Dict			=   self.base_cmd
     if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
        cmd += ["--multi_gpu"]
     execute_subprocess_async(cmd + [self.test_file_path]							,env=os.environ.copy()       )


  def   __lowercase		(		self      :     Optional[Any]       ):


     '''simple docstring'''






     for config in sorted(self.test_config_path.glob('**/*.yaml'       )       ):
        with self.subTest(config_file=_a       ):
           execute_subprocess_async(
               self.base_cmd + ['--config_file', str(_a       ), self.test_file_path]							,env=os.environ.copy()       )


  def   __lowercase		(		self      :     Optional[int]       ):


     '''simple docstring'''






     execute_subprocess_async(['accelerate', 'test']							,env=os.environ.copy()       )







class UpperCAmelCase__	( unittest.TestCase	):





  """simple docstring"""

  __UpperCAmelCase				:				Optional[Any]   =					'''test-tpu'''
  __UpperCAmelCase				:				Any   =					'''us-central1-a'''
  __UpperCAmelCase				:				List[Any]   =					'''ls'''
  __UpperCAmelCase				:				Any   =					['''accelerate''', '''tpu-config''']
  __UpperCAmelCase				:				Dict   =					'''cd /usr/share'''
  __UpperCAmelCase				:				Any   =					'''tests/test_samples/test_command_file.sh'''
  __UpperCAmelCase				:				List[Any]   =					'''Running gcloud compute tpus tpu-vm ssh'''


  def   __lowercase		(		self      :     Dict       ):


     '''simple docstring'''






     _a				:	Optional[Any]			=   run_command(
         self.cmd
         + ['--command', self.command, '--tpu_zone', self.tpu_zone, '--tpu_name', self.tpu_name, '--debug']							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""							,_a							,)


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Any			=   run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/0_12_0.yaml',
             '--command',
             self.command,
             '--tpu_zone',
             self.tpu_zone,
             '--tpu_name',
             self.tpu_name,
             '--debug',
         ]							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""							,_a							,)


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--debug']							,return_stdout=_a       )
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""							,_a							,)


  def   __lowercase		(		self      :     int       ):


     '''simple docstring'''






     _a				:	Optional[Any]			=   run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--command', self.command, '--debug']							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""							,_a							,)


  def   __lowercase		(		self      :     str       ):


     '''simple docstring'''






     _a				:	List[str]			=   run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/latest.yaml',
             '--command',
             self.command,
             '--command',
             'echo "Hello World"',
             '--debug',
         ]							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo \"Hello World\" --worker all"""							,_a							,)


  def   __lowercase		(		self      :     Union[str, Any]       ):


     '''simple docstring'''






     _a				:	Any			=   run_command(
         self.cmd
         + ['--config_file', 'tests/test_configs/latest.yaml', '--command_file', self.command_file, '--debug']							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""							,_a							,)


  def   __lowercase		(		self      :     Union[str, Any]       ):


     '''simple docstring'''






     _a				:	Union[str, Any]			=   run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/0_12_0.yaml',
             '--command_file',
             self.command_file,
             '--tpu_zone',
             self.tpu_zone,
             '--tpu_name',
             self.tpu_name,
             '--debug',
         ]							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""							,_a							,)


  def   __lowercase		(		self      :     Any       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--install_accelerate', '--debug']							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo \"hello world\"; echo \"this is a second command\" --worker all"""							,_a							,)


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/latest.yaml',
             '--install_accelerate',
             '--accelerate_version',
             '12.0.0',
             '--debug',
         ]							,return_stdout=_a							,)
     self.assertIn(
         F"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo \"hello world\"; echo \"this is a second command\" --worker all"""							,_a							,)



