




"""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 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    List[str]:
      assert isinstance(__UpperCAmelCase    ,		__UpperCAmelCase				)
      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 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Optional[int]:
      lowerCAmelCase__      :			List[str]   =	tmp_path / """cache"""
      lowerCAmelCase__      :			Optional[int]   =	{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            lowerCAmelCase__      :			Any   =	SqlDatasetReader(
                """dataset"""    ,		"""sqlite:///""" + sqlite_path    ,		cache_dir=__UpperCAmelCase    ,		keep_in_memory=__UpperCAmelCase				).read()
      _check_sql_dataset(__UpperCAmelCase    ,		__UpperCAmelCase				)



@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 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Union[str, Any]:
      lowerCAmelCase__      :			int   =	tmp_path / """cache"""
      lowerCAmelCase__      :			List[str]   =	{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
      lowerCAmelCase__      :			Optional[int]   =	features.copy() if features else default_expected_features
      lowerCAmelCase__      :			int   =	(
          Features({feature: Value(__UpperCAmelCase				) for feature, dtype in features.items()}				) if features is not None else None
      )
      lowerCAmelCase__      :			Dict   =	SqlDatasetReader("""dataset"""    ,		"""sqlite:///""" + sqlite_path    ,		features=__UpperCAmelCase    ,		cache_dir=__UpperCAmelCase				).read()
      _check_sql_dataset(__UpperCAmelCase    ,		__UpperCAmelCase				)



def 	lowercase_				(			__UpperCAmelCase				)						->    str:
      with contextlib.closing(sqlitea.connect(__UpperCAmelCase				)				) as con:
            lowerCAmelCase__      :			List[Any]   =	con.cursor()
            cur.execute("""SELECT * FROM dataset"""				)
            for row in cur:
                  yield row



@require_sqlalchemy
def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Optional[int]:
      lowerCAmelCase__      :			str   =	tmp_path / """cache"""
      lowerCAmelCase__      :			int   =	os.path.join(__UpperCAmelCase    ,		"""tmp.sql"""				)
      lowerCAmelCase__      :			Any   =	SqlDatasetReader("""dataset"""    ,		"""sqlite:///""" + sqlite_path    ,		cache_dir=__UpperCAmelCase				).read()
      SqlDatasetWriter(__UpperCAmelCase    ,		"""dataset"""    ,		"""sqlite:///""" + output_sqlite_path    ,		num_proc=1				).write()

      lowerCAmelCase__      :			Union[str, Any]   =	iter_sql_file(__UpperCAmelCase				)
      lowerCAmelCase__      :			Any   =	iter_sql_file(__UpperCAmelCase				)

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



@require_sqlalchemy
def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Optional[int]:
      lowerCAmelCase__      :			List[Any]   =	tmp_path / """cache"""
      lowerCAmelCase__      :			List[Any]   =	os.path.join(__UpperCAmelCase    ,		"""tmp.sql"""				)
      lowerCAmelCase__      :			int   =	SqlDatasetReader("""dataset"""    ,		"""sqlite:///""" + sqlite_path    ,		cache_dir=__UpperCAmelCase				).read()
      SqlDatasetWriter(__UpperCAmelCase    ,		"""dataset"""    ,		"""sqlite:///""" + output_sqlite_path    ,		num_proc=2				).write()

      lowerCAmelCase__      :			int   =	iter_sql_file(__UpperCAmelCase				)
      lowerCAmelCase__      :			Dict   =	iter_sql_file(__UpperCAmelCase				)

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



@require_sqlalchemy
def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase    ,		__UpperCAmelCase				)						->    str:
      lowerCAmelCase__      :			str   =	tmp_path / """cache"""
      lowerCAmelCase__      :			List[str]   =	os.path.join(__UpperCAmelCase    ,		"""tmp.sql"""				)
      lowerCAmelCase__      :			Tuple   =	SqlDatasetReader("""dataset"""    ,		"""sqlite:///""" + sqlite_path    ,		cache_dir=__UpperCAmelCase				).read()
      with pytest.raises(__UpperCAmelCase				):
            SqlDatasetWriter(__UpperCAmelCase    ,		"""dataset"""    ,		"""sqlite:///""" + output_sqlite_path    ,		num_proc=0				).write()











"""simple docstring"""


from argparse import ArgumentParser

from . import BaseTransformersCLICommand



def 	lowercase_				(			__UpperCAmelCase				)						->    List[str]:
      return DownloadCommand(args.model    ,		args.cache_dir    ,		args.force    ,		args.trust_remote_code				)


class _lowerCamelCase    (					a_						):






   @staticmethod
   def 	_lowerCAmelCase   (		UpperCamelCase       :		ArgumentParser   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	parser.add_parser("""download"""   )
         download_parser.add_argument(
             """--cache-dir"""   ,     type=UpperCamelCase   ,     default=UpperCamelCase   ,     help="""Path to location to store the models"""   )
         download_parser.add_argument(
             """--force"""   ,     action="""store_true"""   ,     help="""Force the model to be download even if already in cache-dir"""   )
         download_parser.add_argument(
             """--trust-remote-code"""   ,     action="""store_true"""   ,     help="""Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"""   ,     )
         download_parser.add_argument("""model"""   ,     type=UpperCamelCase   ,     help="""Name of the model to download"""   )
         download_parser.set_defaults(func=UpperCamelCase   )






   def __init__(		self       :		Optional[int]   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		bool   ,     UpperCamelCase       :		bool   )			->						Any:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	model
         lowerCAmelCase__      :			Union[str, Any]   =	cache
         lowerCAmelCase__      :			Optional[int]   =	force
         lowerCAmelCase__      :			Dict   =	trust_remote_code






   def 	_lowerCAmelCase   (		self       :		int   )			->						Any:

         """simple docstring"""
         from ..models.auto import AutoModel, AutoTokenizer

         AutoModel.from_pretrained(
             self._model   ,     cache_dir=self._cache   ,     force_download=self._force   ,     trust_remote_code=self._trust_remote_code   )
         AutoTokenizer.from_pretrained(
             self._model   ,     cache_dir=self._cache   ,     force_download=self._force   ,     trust_remote_code=self._trust_remote_code   )





