





'''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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					Optional[int]:

   '''simple docstring'''







   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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Union[str, Any]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       tmp_path / """cache"""
   __SCREAMING_SNAKE_CASE      							=       {"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
   with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
      __SCREAMING_SNAKE_CASE      							=       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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Optional[Any]:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase      )						->					List[str]:

   '''simple docstring'''







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

@require_sqlalchemy
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Union[str, Any]:

   '''simple docstring'''







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

   __SCREAMING_SNAKE_CASE      							=       iter_sql_file(__UpperCAmelCase      )
   __SCREAMING_SNAKE_CASE      							=       iter_sql_file(__UpperCAmelCase      )

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

@require_sqlalchemy
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					int:

   '''simple docstring'''







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

   __SCREAMING_SNAKE_CASE      							=       iter_sql_file(__UpperCAmelCase      )
   __SCREAMING_SNAKE_CASE      							=       iter_sql_file(__UpperCAmelCase      )

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







@require_sqlalchemy
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					str:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       tmp_path / """cache"""
   __SCREAMING_SNAKE_CASE      							=       os.path.join(__UpperCAmelCase							,	"""tmp.sql"""      )
   __SCREAMING_SNAKE_CASE      							=       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'''

import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


a        =						"__DUMMY_TRANSFORMERS_USER__"
a        =						"Dummy User"
a        =						"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"

a        =						"https://hub-ci.huggingface.co"
a        =						CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
a        =						CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
a        =						Path("~/.huggingface/hub_ci_token").expanduser()

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					int:

   '''simple docstring'''







   monkeypatch.setattr(
       """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""							,	__UpperCAmelCase      )

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					Optional[Any]:

   '''simple docstring'''







   monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""							,	__UpperCAmelCase      )
   monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""							,	__UpperCAmelCase      )

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					Optional[Any]:

   '''simple docstring'''







   monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""							,	__UpperCAmelCase      )

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   HfFolder.save_token(__UpperCAmelCase      )
   yield
   HfFolder.delete_token()

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							)						->					Optional[Any]:

   '''simple docstring'''







   return HfApi(endpoint=__UpperCAmelCase      )

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       HfFolder.get_token()
   HfFolder.save_token(__UpperCAmelCase      )
   yield CI_HUB_USER_TOKEN
   if previous_token is not None:
      HfFolder.save_token(__UpperCAmelCase      )

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   def _cleanup_repo(__UpperCAmelCase      ):
      hf_api.delete_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""      )

   return _cleanup_repo

@pytest.fixture
def 						__magic_name__       (							__UpperCAmelCase      )						->					int:

   '''simple docstring'''







   @contextmanager
   def _temporary_repo(__UpperCAmelCase      ):
      try:
         yield repo_id
      finally:
         cleanup_repo(__UpperCAmelCase      )

   return _temporary_repo

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       f"""repo_txt_data-{int(time.time() * 1_0e3      )}"""
   __SCREAMING_SNAKE_CASE      							=       f"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""							,	private=__UpperCAmelCase      )
   hf_api.upload_file(
       token=__UpperCAmelCase							,	path_or_fileobj=str(__UpperCAmelCase      )							,	path_in_repo="""data/text_data.txt"""							,	repo_id=__UpperCAmelCase							,	repo_type="""dataset"""							,	)
   yield repo_id
   try:
      hf_api.delete_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""      )
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass

@pytest.fixture()
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Optional[Any]:

   '''simple docstring'''







   return hf_private_dataset_repo_txt_data_

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       f"""repo_zipped_txt_data-{int(time.time() * 1_0e3      )}"""
   __SCREAMING_SNAKE_CASE      							=       f"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""							,	private=__UpperCAmelCase      )
   hf_api.upload_file(
       token=__UpperCAmelCase							,	path_or_fileobj=str(__UpperCAmelCase      )							,	path_in_repo="""data.zip"""							,	repo_id=__UpperCAmelCase							,	repo_type="""dataset"""							,	)
   yield repo_id
   try:
      hf_api.delete_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""      )
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass

@pytest.fixture()
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Tuple:

   '''simple docstring'''







   return hf_private_dataset_repo_zipped_txt_data_

@pytest.fixture(scope="""session"""      )
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Union[str, Any]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       f"""repo_zipped_img_data-{int(time.time() * 1_0e3      )}"""
   __SCREAMING_SNAKE_CASE      							=       f"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""							,	private=__UpperCAmelCase      )
   hf_api.upload_file(
       token=__UpperCAmelCase							,	path_or_fileobj=str(__UpperCAmelCase      )							,	path_in_repo="""data.zip"""							,	repo_id=__UpperCAmelCase							,	repo_type="""dataset"""							,	)
   yield repo_id
   try:
      hf_api.delete_repo(__UpperCAmelCase							,	token=__UpperCAmelCase							,	repo_type="""dataset"""      )
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass







@pytest.fixture()
def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					Dict:

   '''simple docstring'''







   return hf_private_dataset_repo_zipped_img_data_





