
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__   (  lowerCamelCase  )					->		Dict:
				UpperCamelCase_:							Any		=  tmp_path / """file.csv"""
				UpperCamelCase_:							Tuple		=  textwrap.dedent(
				    """\
        header1,header2
        1,2
        10,20
        """  )
				with open(lowerCamelCase       ,      """w"""  ) as f:
								f.write(lowerCamelCase  )
				return str(lowerCamelCase  )







@pytest.fixture
def     A__   (  lowerCamelCase  )					->		Optional[int]:
				UpperCamelCase_:							str		=  tmp_path / """malformed_file.csv"""
				UpperCamelCase_:							Any		=  textwrap.dedent(
				    """\
        header1,header2
        1,2
        10,20,
        """  )
				with open(lowerCamelCase       ,      """w"""  ) as f:
								f.write(lowerCamelCase  )
				return str(lowerCamelCase  )







@pytest.fixture
def     A__   (  lowerCamelCase       ,      lowerCamelCase  )					->		str:
				UpperCamelCase_:							Any		=  tmp_path / """csv_with_image.csv"""
				UpperCamelCase_:							List[str]		=  textwrap.dedent(
				    F'''\
        image
        {image_file}
        '''  )
				with open(lowerCamelCase       ,      """w"""  ) as f:
								f.write(lowerCamelCase  )
				return str(lowerCamelCase  )







@pytest.fixture
def     A__   (  lowerCamelCase  )					->		List[str]:
				UpperCamelCase_:							int		=  tmp_path / """csv_with_label.csv"""
				UpperCamelCase_:							Optional[Any]		=  textwrap.dedent(
				    """\
        label
        good
        bad
        good
        """  )
				with open(lowerCamelCase       ,      """w"""  ) as f:
								f.write(lowerCamelCase  )
				return str(lowerCamelCase  )







@pytest.fixture
def     A__   (  lowerCamelCase  )					->		Optional[int]:
				UpperCamelCase_:							Optional[Any]		=  tmp_path / """csv_with_int_list.csv"""
				UpperCamelCase_:							List[Any]		=  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     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Union[str, Any]:
				UpperCamelCase_:							str		=  Csv()
				UpperCamelCase_:							str		=  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     A__   (  lowerCamelCase  )					->		Dict:
				with open(lowerCamelCase       ,      encoding="""utf-8"""  ) as f:
								UpperCamelCase_:							str		=  f.read().splitlines()[1]
				UpperCamelCase_:							Optional[int]		=  Csv(encoding="""utf-8"""       ,      features=Features({"""image""": Image()}  )  )
				UpperCamelCase_:							int		=  csv._generate_tables([[csv_file_with_image]]  )
				UpperCamelCase_:							Dict		=  pa.concat_tables([table for _, table in generator]  )
				assert pa_table.schema.field("""image"""  ).type == Image()()
				UpperCamelCase_:							Dict		=  pa_table.to_pydict()["""image"""]
				assert generated_content == [{"path": image_file, "bytes": None}]







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







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








import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_rjieba
@require_tokenizers
class     _UpperCamelCase			(   _A       ,    unittest.TestCase					):






			'''simple docstring'''

			__UpperCamelCase :  Union[str, Any]    =	RoFormerTokenizer
			__UpperCamelCase :  Union[str, Any]    =	RoFormerTokenizerFast
			__UpperCamelCase :  Optional[Any]    =	True
			__UpperCamelCase :  Tuple    =	True

			def  lowerCAmelCase__		(    self	:    Optional[Any] ):
							super().setUp()

			def  lowerCAmelCase__		(    self	:    List[str]  ,		**snake_case_	:    Union[str, Any] ):
							return self.tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""  ,		**snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict  ,		**snake_case_	:    Union[str, Any] ):
							return self.rust_tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""  ,		**snake_case_ )

			def  lowerCAmelCase__		(    self	:    Any ):
							UpperCamelCase_:							int		=  """永和服装饰品有限公司,今天天气非常好"""
							UpperCamelCase_:							int		=  """永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"""
							return input_text, output_text

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							Dict		=  self.get_tokenizer()
							UpperCamelCase_,				UpperCamelCase_:							Optional[int]		=  self.get_chinese_input_output_texts()
							UpperCamelCase_:							Optional[int]		=  tokenizer.tokenize(snake_case_ )

							self.assertListEqual(snake_case_  ,		output_text.split() )

							UpperCamelCase_:							Dict		=  tokens + [tokenizer.unk_token]
							UpperCamelCase_:							int		=  [2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_ )  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							Optional[int]		=  self.get_rust_tokenizer()
							UpperCamelCase_,				UpperCamelCase_:							Any		=  self.get_chinese_input_output_texts()
							UpperCamelCase_:							int		=  tokenizer.tokenize(snake_case_ )
							self.assertListEqual(snake_case_  ,		output_text.split() )
							UpperCamelCase_:							Union[str, Any]		=  tokens + [tokenizer.unk_token]
							UpperCamelCase_:							Optional[Any]		=  [2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_ )  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict ):
							pass

			def  lowerCAmelCase__		(    self	:    Tuple ):
							pass




			def  lowerCAmelCase__		(    self	:    Union[str, Any] ):
							pass






