"""simple docstring"""






import argparse
import shlex

import runhouse as rh


if __name__ == "__main__":
       # Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
       # setup instructions, if using on-demand hardware

       # If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster
       # If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster
       # Throw an error if user passes both BYO and on-demand cluster args
       # Otherwise, use default values
       __lowerCAmelCase					: Optional[Any]        =argparse.ArgumentParser()
       parser.add_argument("""--user""", type=str, default="""ubuntu""")
       parser.add_argument("""--host""", type=str, default="""localhost""")
       parser.add_argument("""--key_path""", type=str, default=None)
       parser.add_argument("""--instance""", type=str, default="""V100:1""")
       parser.add_argument("""--provider""", type=str, default="""cheapest""")
       parser.add_argument("""--use_spot""", type=bool, default=False)
       parser.add_argument("""--example""", type=str, default="""pytorch/text-generation/run_generation.py""")
       __lowerCAmelCase					: Union[str, Any]        =parser.parse_known_args()
       if args.host != "localhost":
              if args.instance != "V100:1" or args.provider != "cheapest":
                     raise ValueError("""Cannot specify both BYO and on-demand cluster args""")
              __lowerCAmelCase					: Dict        =rh.cluster(
                  name="""rh-cluster""", ips=[args.host], ssh_creds={"""ssh_user""": args.user, """ssh_private_key""": args.key_path}
              )
       else:
              __lowerCAmelCase					: Dict        =rh.cluster(
                  name="""rh-cluster""", instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
              )
       __lowerCAmelCase					: str        =args.example.rsplit("""/""", 1)[0]

       # Set up remote environment
       cluster.install_packages(["""pip:./"""])  # Installs transformers from local source
       # Note transformers is copied into the home directory on the remote machine, so we can install from there
       cluster.run([F"""pip install -r transformers/examples/{example_dir}/requirements.txt"""])
       cluster.run(["""pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117"""])

       # Run example. You can bypass the CLI wrapper and paste your own code here.
       cluster.run([F"""python transformers/examples/{args.example} {' '.join(shlex.quote(arg) for arg in unknown)}"""])

       # Alternatively, we can just import and run a training function (especially if there's no wrapper CLI):
       # from my_script... import train
       # reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard']
       # launch_train_gpu = rh.function(fn=train,
       #                                system=gpu,
       #                                reqs=reqs,
       #                                name='train_bert_glue')
       #
       # We can pass in arguments just like we would to a function:
       # launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16
       #                  stream_logs=True)







"""simple docstring"""






import contextlib
import os
import sqlitea

import pytest

from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy


def     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :Tuple	)				->					Union[str, Any]:
      '''simple docstring'''


      assert isinstance(lowerCAmelCase__      ,	lowerCAmelCase__	)
      assert dataset.num_rows == 4
      assert dataset.num_columns == 3
      assert dataset.column_names == ["col_1", "col_2", "col_3"]
      for feature, expected_dtype in expected_features.items():
            assert dataset.features[feature].dtype == expected_dtype


@require_sqlalchemy
@pytest.mark.parametrize("""keep_in_memory"""      ,	[False, True]	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :str      ,	lowerCAmelCase__  :List[str]	)				->					int:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            lowercase														=			SqlDatasetReader(
                """dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__      ,	keep_in_memory=lowerCAmelCase__	).read()
      _check_sql_dataset(lowerCAmelCase__      ,	lowerCAmelCase__	)


@require_sqlalchemy
@pytest.mark.parametrize(
    """features"""      ,	[
        None,
        {"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""},
        {"""col_1""": """string""", """col_2""": """string""", """col_3""": """string"""},
        {"""col_1""": """int32""", """col_2""": """int32""", """col_3""": """int32"""},
        {"""col_1""": """float32""", """col_2""": """float32""", """col_3""": """float32"""},
    ]      ,	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :Union[str, Any]      ,	lowerCAmelCase__  :List[Any]      ,	lowerCAmelCase__  :Union[str, Any]	)				->					Optional[int]:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
      lowercase														=			features.copy() if features else default_expected_features
      lowercase														=			(
          Features({feature: Value(lowerCAmelCase__	) for feature, dtype in features.items()}	) if features is not None else None
      )
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	features=lowerCAmelCase__      ,	cache_dir=lowerCAmelCase__	).read()
      _check_sql_dataset(lowerCAmelCase__      ,	lowerCAmelCase__	)


def     UpperCAmelCase__ (       lowerCAmelCase__  :Any	)				->					Optional[int]:
      '''simple docstring'''


      with contextlib.closing(sqlitea.connect(lowerCAmelCase__	)	) as con:
            lowercase														=			con.cursor()
            cur.execute("""SELECT * FROM dataset"""	)
            for row in cur:
                  yield row


@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :Tuple      ,	lowerCAmelCase__  :str      ,	lowerCAmelCase__  :int	)				->					List[Any]:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""tmp.sql"""	)
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__	).read()
      SqlDatasetWriter(lowerCAmelCase__      ,	"""dataset"""      ,	"""sqlite:///""" + output_sqlite_path      ,	num_proc=1	).write()

      lowercase														=			iter_sql_file(lowerCAmelCase__	)
      lowercase														=			iter_sql_file(lowerCAmelCase__	)

      for rowa, rowa in zip(lowerCAmelCase__      ,	lowerCAmelCase__	):
            assert rowa == rowa


@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :str      ,	lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :Optional[int]	)				->					Optional[int]:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""tmp.sql"""	)
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__	).read()
      SqlDatasetWriter(lowerCAmelCase__      ,	"""dataset"""      ,	"""sqlite:///""" + output_sqlite_path      ,	num_proc=2	).write()

      lowercase														=			iter_sql_file(lowerCAmelCase__	)
      lowercase														=			iter_sql_file(lowerCAmelCase__	)

      for rowa, rowa in zip(lowerCAmelCase__      ,	lowerCAmelCase__	):
            assert rowa == rowa






@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Tuple	)				->					Any:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""tmp.sql"""	)
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__	).read()
      with pytest.raises(lowerCAmelCase__	):
            SqlDatasetWriter(lowerCAmelCase__      ,	"""dataset"""      ,	"""sqlite:///""" + output_sqlite_path      ,	num_proc=0	).write()



