
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 						__magic_name__ (    __a			:       Union[str, Any]						):



     '''simple docstring'''




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






@pytest.fixture
def 						__magic_name__ (    __a			:       Any						):



     '''simple docstring'''




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






@pytest.fixture
def 						__magic_name__ (    __a			:       Optional[Any]       ,		__a			:       Optional[Any]						):



     '''simple docstring'''




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






@pytest.fixture
def 						__magic_name__ (    __a			:       List[Any]						):



     '''simple docstring'''




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






@pytest.fixture
def 						__magic_name__ (    __a			:       Union[str, Any]						):



     '''simple docstring'''




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






def 						__magic_name__ (    __a			:       Tuple       ,		__a			:       Optional[Any]       ,		__a			:       List[Any]						):



     '''simple docstring'''




     UpperCamelCase__				=				Csv()
     UpperCamelCase__				=				csv._generate_tables([[csv_file, malformed_csv_file]]						)
     with pytest.raises(lowerCAmelCase__       ,		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(lowerCAmelCase__						) in record.message
         for record in caplog.records						)






@require_pil
def 						__magic_name__ (    __a			:       Union[str, Any]						):



     '''simple docstring'''




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






def 						__magic_name__ (    __a			:       List[str]						):



     '''simple docstring'''




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






def 						__magic_name__ (    __a			:       Dict						):



     '''simple docstring'''




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









'''simple docstring'''
import re

from filelock import FileLock


try:
  import nltk

  UpperCamelCase__    					=      True
except (ImportError, ModuleNotFoundError):
  UpperCamelCase__    					=      False

if NLTK_AVAILABLE:
  with FileLock('''.lock''') as lock:
    nltk.download('''punkt''', quiet=True)





def 					a__       (					lowerCAmelCase__						)    ->	str:
    re.sub('''<n>'''  ,					''''''  ,					lowerCAmelCase__						)  # remove pegasus newline char
    assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
    return "\n".join(nltk.sent_tokenize(lowerCAmelCase__						)						)
