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 lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







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



@pytest.fixture
def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :List[str]			  =		tmp_path / '''malformed_file.csv'''
    __UpperCamelCase     :Tuple			  =		textwrap.dedent(
        '''\
        header1,header2
        1,2
        10,20,
        '''	)
    with open(SCREAMING_SNAKE_CASE  ,			'''w'''	) as f:
        f.write(SCREAMING_SNAKE_CASE	)
    return str(SCREAMING_SNAKE_CASE	)



@pytest.fixture
def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :List[Any]			  =		tmp_path / '''csv_with_image.csv'''
    __UpperCamelCase     :str			  =		textwrap.dedent(
        f"""\
        image
        {image_file}
        """	)
    with open(SCREAMING_SNAKE_CASE  ,			'''w'''	) as f:
        f.write(SCREAMING_SNAKE_CASE	)
    return str(SCREAMING_SNAKE_CASE	)



@pytest.fixture
def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







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



@pytest.fixture
def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Tuple			  =		tmp_path / '''csv_with_int_list.csv'''
    __UpperCamelCase     :Optional[Any]			  =		textwrap.dedent(
        '''\
        int_list
        1 2 3
        4 5 6
        7 8 9
        '''	)
    with open(SCREAMING_SNAKE_CASE  ,			'''w'''	) as f:
        f.write(SCREAMING_SNAKE_CASE	)
    return str(SCREAMING_SNAKE_CASE	)



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Union[str, Any]			  =		Csv()
    __UpperCamelCase     :Optional[int]			  =		csv._generate_tables([[csv_file, malformed_csv_file]]	)
    with pytest.raises(SCREAMING_SNAKE_CASE  ,			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(SCREAMING_SNAKE_CASE	) in record.message
        for record in caplog.records	)



@require_pil
def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







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



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







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



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







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









import os
import sys
from contextlib import contextmanager


# Windows only
if os.name == "nt":
 import ctypes
 import msvcrt  # noqa




 class A  (   ctypes.Structure     ):
       # _fields is a specific attr expected by ctypes
       UpperCamelCase__							:  List[Any]      =[('size', ctypes.c_int), ('visible', ctypes.c_byte)]




def 	a_      (    ):
       '''simple docstring'''





       if os.name == "nt":
              _lowerCamelCase       :		Optional[Any]		=CursorInfo()
              _lowerCamelCase       :		Dict		=ctypes.windll.kernelaa.GetStdHandle(-11     )
              ctypes.windll.kernelaa.GetConsoleCursorInfo(SCREAMING_SNAKE_CASE__		,			ctypes.byref(SCREAMING_SNAKE_CASE__     )     )
              _lowerCamelCase       :		Any		=False
              ctypes.windll.kernelaa.SetConsoleCursorInfo(SCREAMING_SNAKE_CASE__		,			ctypes.byref(SCREAMING_SNAKE_CASE__     )     )
       elif os.name == "posix":
              sys.stdout.write('\033[?25l'     )
              sys.stdout.flush()




def 	a_      (    ):
       '''simple docstring'''





       if os.name == "nt":
              _lowerCamelCase       :		Any		=CursorInfo()
              _lowerCamelCase       :		Optional[Any]		=ctypes.windll.kernelaa.GetStdHandle(-11     )
              ctypes.windll.kernelaa.GetConsoleCursorInfo(SCREAMING_SNAKE_CASE__		,			ctypes.byref(SCREAMING_SNAKE_CASE__     )     )
              _lowerCamelCase       :		Union[str, Any]		=True
              ctypes.windll.kernelaa.SetConsoleCursorInfo(SCREAMING_SNAKE_CASE__		,			ctypes.byref(SCREAMING_SNAKE_CASE__     )     )
       elif os.name == "posix":
              sys.stdout.write('\033[?25h'     )
              sys.stdout.flush()




@contextmanager
def 	a_      (    ):
       '''simple docstring'''





       try:
              hide_cursor()
              yield
       finally:
              show_cursor()


