





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   ):
	UpperCAmelCase_								=     tmp_path / """file.csv"""
	UpperCAmelCase_								=     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   ):
	UpperCAmelCase_								=     tmp_path / """malformed_file.csv"""
	UpperCAmelCase_								=     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   ):
	UpperCAmelCase_								=     tmp_path / """csv_with_image.csv"""
	UpperCAmelCase_								=     textwrap.dedent(
	    f"""\
        image
        {image_file}
        """   )
	with open(A				,      """w"""   ) as f:
		f.write(A   )
	return str(A   )




@pytest.fixture
def    A_(			A   ):
	UpperCAmelCase_								=     tmp_path / """csv_with_label.csv"""
	UpperCAmelCase_								=     textwrap.dedent(
	    """\
        label
        good
        bad
        good
        """   )
	with open(A				,      """w"""   ) as f:
		f.write(A   )
	return str(A   )




@pytest.fixture
def    A_(			A   ):
	UpperCAmelCase_								=     tmp_path / """csv_with_int_list.csv"""
	UpperCAmelCase_								=     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   ):
	UpperCAmelCase_								=     Csv()
	UpperCAmelCase_								=     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   ):
	with open(A				,      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    A_(			A   ):
	with open(A				,      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(A   ) for label in labels]




def    A_(			A   ):
	UpperCAmelCase_								=     Csv(encoding="""utf-8"""				,      sep=""","""				,      converters={"""int_list""": lambda A   : [int(A   ) 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]]









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__   : List[Any]					  = {"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__   : List[str]					  = [
				    """SEW_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """SEWForCTC""",
				    """SEWForSequenceClassification""",
				    """SEWModel""",
				    """SEWPreTrainedModel""",
				]

if TYPE_CHECKING:
				from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_sew import (
								    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
								    SEWForCTC,
								    SEWForSequenceClassification,
								    SEWModel,
								    SEWPreTrainedModel,
								)


else:
				import sys

				UpperCamelCase__   : str					  = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


