





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_			(	__a		):







  """simple docstring"""





  lowerCamelCase__:				Optional[int]        =tmp_path / "file.csv"
  lowerCamelCase__:				Optional[int]        =textwrap.dedent(
      "\\n        header1,header2\n        1,2\n        10,20\n        "		)
  with open(__a     ,   "w"		) as f:
    f.write(__a		)
  return str(__a		)





@pytest.fixture
def 					lowerCAmelCase_			(	__a		):







  """simple docstring"""





  lowerCamelCase__:				str        =tmp_path / "malformed_file.csv"
  lowerCamelCase__:				Optional[int]        =textwrap.dedent(
      "\\n        header1,header2\n        1,2\n        10,20,\n        "		)
  with open(__a     ,   "w"		) as f:
    f.write(__a		)
  return str(__a		)





@pytest.fixture
def 					lowerCAmelCase_			(	__a     ,   __a		):







  """simple docstring"""





  lowerCamelCase__:				Optional[Any]        =tmp_path / "csv_with_image.csv"
  lowerCamelCase__:				str        =textwrap.dedent(
      F"""\
        image
        {image_file}
        """		)
  with open(__a     ,   "w"		) as f:
    f.write(__a		)
  return str(__a		)





@pytest.fixture
def 					lowerCAmelCase_			(	__a		):







  """simple docstring"""





  lowerCamelCase__:				Tuple        =tmp_path / "csv_with_label.csv"
  lowerCamelCase__:				Dict        =textwrap.dedent(
      "\\n        label\n        good\n        bad\n        good\n        "		)
  with open(__a     ,   "w"		) as f:
    f.write(__a		)
  return str(__a		)





@pytest.fixture
def 					lowerCAmelCase_			(	__a		):







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a     ,   __a     ,   __a		):







  """simple docstring"""





  lowerCamelCase__:				Optional[Any]        =Csv()
  lowerCamelCase__:				Optional[int]        =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 					lowerCAmelCase_			(	__a		):







  """simple docstring"""





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





def 					lowerCAmelCase_			(	__a		):







  """simple docstring"""





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






def 					lowerCAmelCase_			(	__a		):







  """simple docstring"""





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








import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


__A     =    get_logger(__name__)



class        _SCREAMING_SNAKE_CASE						(     enum.Enum   ):







 '''simple docstring'''
 lowercase_		=      "all_checks"
 lowercase_		=      "basic_checks"
 lowercase_		=      "no_checks"



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''





def 					lowerCAmelCase_			(	__a     ,   __a     ,   __a=None		)					->		Optional[int]:







  """simple docstring"""





  if expected_checksums is None:
    logger.info("Unable to verify checksums."		)
    return
  if len(set(__a		) - set(__a		)		) > 0:
    raise ExpectedMoreDownloadedFiles(str(set(__a		) - set(__a		)		)		)
  if len(set(__a		) - set(__a		)		) > 0:
    raise UnexpectedDownloadedFile(str(set(__a		) - set(__a		)		)		)
  lowerCamelCase__:				List[Any]        =[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
  lowerCamelCase__:				Union[str, Any]        =" for " + verification_name if verification_name is not None else ""
  if len(__a		) > 0:
    raise NonMatchingChecksumError(
        F"""Checksums didn't match{for_verification_name}:\n"""
        F"""{bad_urls}\n"""
        "Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"		)
  logger.info("All the checksums matched successfully" + for_verification_name		)



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''





def 					lowerCAmelCase_			(	__a     ,   __a		)					->		Any:







  """simple docstring"""





  if expected_splits is None:
    logger.info("Unable to verify splits sizes."		)
    return
  if len(set(__a		) - set(__a		)		) > 0:
    raise ExpectedMoreSplits(str(set(__a		) - set(__a		)		)		)
  if len(set(__a		) - set(__a		)		) > 0:
    raise UnexpectedSplits(str(set(__a		) - set(__a		)		)		)
  lowerCamelCase__:				Optional[int]        =[
      {"expected": expected_splits[name], "recorded": recorded_splits[name]}
      for name in expected_splits
      if expected_splits[name].num_examples != recorded_splits[name].num_examples
  ]
  if len(__a		) > 0:
    raise NonMatchingSplitsSizesError(str(__a		)		)
  logger.info("All the splits matched successfully."		)





def 					lowerCAmelCase_			(	__a     ,   __a = True		)					->		dict:







  """simple docstring"""





  if record_checksum:
    lowerCamelCase__:				str        =shaaaa()
    with open(__a     ,   "rb"		) as f:
      for chunk in iter(lambda: f.read(1 << 20		)     ,   b""		):
        m.update(__a		)
      lowerCamelCase__:				Dict        =m.hexdigest()
  else:
    lowerCamelCase__:				List[str]        =None
  return {"num_bytes": os.path.getsize(__a		), "checksum": checksum}






def 					lowerCAmelCase_			(	__a		)					->		int:







  """simple docstring"""





  if dataset_size and config.IN_MEMORY_MAX_SIZE:
    return dataset_size < config.IN_MEMORY_MAX_SIZE
  else:
    return False

