

'''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]]




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						list:



    """simple docstring"""






    if bit_count < 0:
        raise ValueError("The given input must be positive"			)

    # get the generated string sequence
    UpperCamelCase_			  =						gray_code_sequence_string(SCREAMING_SNAKE_CASE_			)
    #
    # convert them to integers
    for i in range(len(SCREAMING_SNAKE_CASE_			)			):
        UpperCamelCase_			  =						int(sequence[i]			,						2			)

    return sequence




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						list:



    """simple docstring"""






    if bit_count == 0:
        return ["0"]

    if bit_count == 1:
        return ["0", "1"]

    UpperCamelCase_			  =						1 << bit_count  # defines the length of the sequence
    # 1<< n is equivalent to 2^n

    # recursive answer will generate answer for n-1 bits
    UpperCamelCase_			  =						gray_code_sequence_string(bit_count - 1			)

    UpperCamelCase_			  =						[]

    # append 0 to first half of the smaller sequence generated
    for i in range(seq_len // 2			):
        UpperCamelCase_			  =						"0" + smaller_sequence[i]
        sequence.append(SCREAMING_SNAKE_CASE_			)

    # append 1 to second half ... start from the end of the list
    for i in reversed(range(seq_len // 2			)			):
        UpperCamelCase_			  =						"1" + smaller_sequence[i]
        sequence.append(SCREAMING_SNAKE_CASE_			)

    return sequence


if __name__ == "__main__":
 import doctest

 doctest.testmod()
