

'''simple docstring'''






import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil


@pytest.fixture
def 						_A	(       A__ ):






 """simple docstring"""



 __lowercase				    =					tmp_path / '''file.csv'''
 __lowercase				    =					textwrap.dedent(
     '''\
        header1,header2
        1,2
        10,20
        ''' )
 with open(A__	,							'''w''' ) as f:
  f.write(A__ )
 return str(A__ )


@pytest.fixture
def 						_A	(       A__ ):






 """simple docstring"""



 __lowercase				    =					tmp_path / '''malformed_file.csv'''
 __lowercase				    =					textwrap.dedent(
     '''\
        header1,header2
        1,2
        10,20,
        ''' )
 with open(A__	,							'''w''' ) as f:
  f.write(A__ )
 return str(A__ )


@pytest.fixture
def 						_A	(       A__	,							A__ ):






 """simple docstring"""



 __lowercase				    =					tmp_path / '''csv_with_image.csv'''
 __lowercase				    =					textwrap.dedent(
     F"\\n        image\n        {image_file}\n        " )
 with open(A__	,							'''w''' ) as f:
  f.write(A__ )
 return str(A__ )


@pytest.fixture
def 						_A	(       A__ ):






 """simple docstring"""



 __lowercase				    =					tmp_path / '''csv_with_label.csv'''
 __lowercase				    =					textwrap.dedent(
     '''\
        label
        good
        bad
        good
        ''' )
 with open(A__	,							'''w''' ) as f:
  f.write(A__ )
 return str(A__ )


@pytest.fixture
def 						_A	(       A__ ):






 """simple docstring"""



 __lowercase				    =					tmp_path / '''csv_with_int_list.csv'''
 __lowercase				    =					textwrap.dedent(
     '''\
        int_list
        1 2 3
        4 5 6
        7 8 9
        ''' )
 with open(A__	,							'''w''' ) as f:
  f.write(A__ )
 return str(A__ )


def 						_A	(       A__	,							A__	,							A__ ):






 """simple docstring"""



 __lowercase				    =					Csv()
 __lowercase				    =					csv._generate_tables([[csv_file, malformed_csv_file]] )
 with pytest.raises(A__	,							match='''Error tokenizing data''' ):
  for _ in generator:
   pass
 assert any(
     record.levelname == '''ERROR'''
     and '''Failed to read file''' in record.message
     and os.path.basename(A__ ) in record.message
     for record in caplog.records )


@require_pil
def 						_A	(       A__ ):






 """simple docstring"""



 with open(A__	,							encoding='''utf-8''' ) as f:
  __lowercase				    =					f.read().splitlines()[1]
 __lowercase				    =					Csv(encoding='''utf-8'''	,							features=Features({'''image''': Image()} ) )
 __lowercase				    =					csv._generate_tables([[csv_file_with_image]] )
 __lowercase				    =					pa.concat_tables([table for _, table in generator] )
 assert pa_table.schema.field('''image''' ).type == Image()()
 __lowercase				    =					pa_table.to_pydict()['''image''']
 assert generated_content == [{"path": image_file, "bytes": None}]


def 						_A	(       A__ ):






 """simple docstring"""



 with open(A__	,							encoding='''utf-8''' ) as f:
  __lowercase				    =					f.read().splitlines()[1:]
 __lowercase				    =					Csv(encoding='''utf-8'''	,							features=Features({'''label''': ClassLabel(names=['''good''', '''bad'''] )} ) )
 __lowercase				    =					csv._generate_tables([[csv_file_with_label]] )
 __lowercase				    =					pa.concat_tables([table for _, table in generator] )
 assert pa_table.schema.field('''label''' ).type == ClassLabel(names=['''good''', '''bad'''] )()
 __lowercase				    =					pa_table.to_pydict()['''label''']
 assert generated_content == [ClassLabel(names=['''good''', '''bad'''] ).straint(A__ ) for label in labels]






def 						_A	(       A__ ):






 """simple docstring"""



 __lowercase				    =					Csv(encoding='''utf-8'''	,							sep=''','''	,							converters={'''int_list''': lambda A__ : [int(A__ ) for i in x.split()]} )
 __lowercase				    =					csv._generate_tables([[csv_file_with_int_list]] )
 __lowercase				    =					pa.concat_tables([table for _, table in generator] )
 assert pa.types.is_list(pa_table.schema.field('''int_list''' ).type )
 __lowercase				    =					pa_table.to_pydict()['''int_list''']
 assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]








'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


_SCREAMING_SNAKE_CASE									=				logging.get_logger(__name__)

class  lowerCAmelCase_		(		__magic_name__		):




 def __init__(						self      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase		)     ->				None:
     warnings.warn(
         "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
         " use YolosImageProcessor instead."      ,  _lowerCAmelCase      ,  )
     super().__init__(*_lowerCAmelCase      ,  **_lowerCAmelCase		)


