




'''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 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		Optional[int]:
			assert isinstance(SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )
			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 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		Optional[int]:
			A_									= tmp_path / 'cache'
			A_									= {'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
			with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
						A_									= SqlDatasetReader(
						    'dataset'       ,'sqlite:///' + sqlite_path       ,cache_dir=SCREAMING_SNAKE_CASE_       ,keep_in_memory=SCREAMING_SNAKE_CASE_     ).read()
			_check_sql_dataset(SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )





@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 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		Dict:
			A_									= tmp_path / 'cache'
			A_									= {'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
			A_									= features.copy() if features else default_expected_features
			A_									= (
			    Features({feature: Value(SCREAMING_SNAKE_CASE_     ) for feature, dtype in features.items()}     ) if features is not None else None
			)
			A_									= SqlDatasetReader('dataset'       ,'sqlite:///' + sqlite_path       ,features=SCREAMING_SNAKE_CASE_       ,cache_dir=SCREAMING_SNAKE_CASE_     ).read()
			_check_sql_dataset(SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		str:
			with contextlib.closing(sqlitea.connect(SCREAMING_SNAKE_CASE_     )     ) as con:
						A_									= con.cursor()
						cur.execute('SELECT * FROM dataset'     )
						for row in cur:
									yield row





@require_sqlalchemy
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		Tuple:
			A_									= tmp_path / 'cache'
			A_									= os.path.join(SCREAMING_SNAKE_CASE_       ,'tmp.sql'     )
			A_									= SqlDatasetReader('dataset'       ,'sqlite:///' + sqlite_path       ,cache_dir=SCREAMING_SNAKE_CASE_     ).read()
			SqlDatasetWriter(SCREAMING_SNAKE_CASE_       ,'dataset'       ,'sqlite:///' + output_sqlite_path       ,num_proc=1     ).write()

			A_									= iter_sql_file(SCREAMING_SNAKE_CASE_     )
			A_									= iter_sql_file(SCREAMING_SNAKE_CASE_     )

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





@require_sqlalchemy
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		Any:
			A_									= tmp_path / 'cache'
			A_									= os.path.join(SCREAMING_SNAKE_CASE_       ,'tmp.sql'     )
			A_									= SqlDatasetReader('dataset'       ,'sqlite:///' + sqlite_path       ,cache_dir=SCREAMING_SNAKE_CASE_     ).read()
			SqlDatasetWriter(SCREAMING_SNAKE_CASE_       ,'dataset'       ,'sqlite:///' + output_sqlite_path       ,num_proc=2     ).write()

			A_									= iter_sql_file(SCREAMING_SNAKE_CASE_     )
			A_									= iter_sql_file(SCREAMING_SNAKE_CASE_     )

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






@require_sqlalchemy
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		Dict:
			A_									= tmp_path / 'cache'
			A_									= os.path.join(SCREAMING_SNAKE_CASE_       ,'tmp.sql'     )
			A_									= SqlDatasetReader('dataset'       ,'sqlite:///' + sqlite_path       ,cache_dir=SCREAMING_SNAKE_CASE_     ).read()
			with pytest.raises(SCREAMING_SNAKE_CASE_     ):
						SqlDatasetWriter(SCREAMING_SNAKE_CASE_       ,'dataset'       ,'sqlite:///' + output_sqlite_path       ,num_proc=0     ).write()










'''simple docstring'''
import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class   __UpperCAmelCase				(     lowerCAmelCase			,unittest.TestCase				):



					'''simple docstring'''





					_UpperCamelCase							=		CTRLTokenizer
					_UpperCamelCase							=		False
					_UpperCamelCase							=		False



					def     __snake_case						(	self     :						str)    ->							List[Any]:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								A_									= ['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
								A_									= dict(zip(_lowercase      ,       range(len(_lowercase))))
								A_									= ['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
								A_									= {'unk_token': '<unk>'}

								A_									= os.path.join(self.tmpdirname      ,       VOCAB_FILES_NAMES['vocab_file'])
								A_									= os.path.join(self.tmpdirname      ,       VOCAB_FILES_NAMES['merges_file'])
								with open(self.vocab_file      ,       'w'      ,       encoding='utf-8') as fp:
											fp.write(json.dumps(_lowercase) + '\n')
								with open(self.merges_file      ,       'w'      ,       encoding='utf-8') as fp:
											fp.write('\n'.join(_lowercase))



					def     __snake_case						(	self     :						Optional[int]      ,       **_lowercase     :						Optional[int])    ->							Union[str, Any]:
								kwargs.update(self.special_tokens_map)
								return CTRLTokenizer.from_pretrained(self.tmpdirname      ,       **_lowercase)



					def     __snake_case						(	self     :						List[Any]      ,       _lowercase     :						Union[str, Any])    ->							Dict:
								A_									= 'adapt react readapt apt'
								A_									= 'adapt react readapt apt'
								return input_text, output_text



					def     __snake_case						(	self     :						Any)    ->							Any:
								A_									= CTRLTokenizer(self.vocab_file      ,       self.merges_file      ,       **self.special_tokens_map)
								A_									= 'adapt react readapt apt'
								A_									= 'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
								A_									= tokenizer.tokenize(_lowercase)
								self.assertListEqual(_lowercase      ,       _lowercase)

								A_									= tokens + [tokenizer.unk_token]

								A_									= [0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase)      ,       _lowercase)




