






import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil




@pytest.fixture
def       _a   (							lowerCamelCase__				)  ->      int:
 lowerCamelCase_							:    List[Any]							=     tmp_path / 'text.txt'
 lowerCamelCase_							:    Optional[int]							=     textwrap.dedent(
     '\\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n\n        Second paragraph:\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n        '				)
 with open(lowerCamelCase__ ,			'w' ,			encoding='utf-8'				) as f:
  f.write(lowerCamelCase__				)
 return str(lowerCamelCase__				)




@pytest.fixture
def       _a   (							lowerCamelCase__ ,			lowerCamelCase__				)  ->      Any:
 lowerCamelCase_							:    Union[str, Any]							=     tmp_path / 'text_with_image.txt'
 with open(lowerCamelCase__ ,			'w' ,			encoding='utf-8'				) as f:
  f.write(lowerCamelCase__				)
 return str(lowerCamelCase__				)




@pytest.mark.parametrize('keep_linebreaks' ,			[True, False]				)
def       _a   (							lowerCamelCase__ ,			lowerCamelCase__				)  ->      str:
 with open(lowerCamelCase__ ,			encoding='utf-8'				) as f:
  lowerCamelCase_							:    List[Any]							=     f.read().splitlines(keepends=lowerCamelCase__				)
 lowerCamelCase_							:    Dict							=     Text(keep_linebreaks=lowerCamelCase__ ,			encoding='utf-8'				)
 lowerCamelCase_							:    Any							=     text._generate_tables([[text_file]]				)
 lowerCamelCase_							:    List[str]							=     pa.concat_tables([table for _, table in generator]				).to_pydict()['text']
 assert generated_content == expected_content




@require_pil
def       _a   (							lowerCamelCase__				)  ->      Optional[int]:
 with open(lowerCamelCase__ ,			encoding='utf-8'				) as f:
  lowerCamelCase_							:    str							=     f.read().splitlines()[0]
 lowerCamelCase_							:    Optional[Any]							=     Text(encoding='utf-8' ,			features=Features({'image': Image()}				)				)
 lowerCamelCase_							:    Optional[Any]							=     text._generate_tables([[text_file_with_image]]				)
 lowerCamelCase_							:    Optional[int]							=     pa.concat_tables([table for _, table in generator]				)
 assert pa_table.schema.field('image'				).type == Image()()
 lowerCamelCase_							:    Dict							=     pa_table.to_pydict()['image']
 assert generated_content == [{"path": image_file, "bytes": None}]





@pytest.mark.parametrize('sample_by' ,			['line', 'paragraph', 'document']				)
def       _a   (							lowerCamelCase__ ,			lowerCamelCase__				)  ->      Optional[int]:
 with open(lowerCamelCase__ ,			encoding='utf-8'				) as f:
  lowerCamelCase_							:    Any							=     f.read()
 if sample_by == "line":
  lowerCamelCase_							:    Union[str, Any]							=     expected_content.splitlines()
 elif sample_by == "paragraph":
  lowerCamelCase_							:    str							=     expected_content.split('\n\n'				)
 elif sample_by == "document":
  lowerCamelCase_							:    Optional[Any]							=     [expected_content]
 lowerCamelCase_							:    List[Any]							=     Text(sample_by=lowerCamelCase__ ,			encoding='utf-8' ,			chunksize=1_00				)
 lowerCamelCase_							:    Optional[Any]							=     text._generate_tables([[text_file]]				)
 lowerCamelCase_							:    List[str]							=     pa.concat_tables([table for _, table in generator]				).to_pydict()['text']
 assert generated_content == expected_content








import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types




class 	lowerCamelCase__				(							unittest.TestCase,   UpperCAmelCase ):






      def      UpperCAmelCase_     (self					:    Any		)       ->   Union[str, Any]:


       """simple docstring"""






       lowerCamelCase_							:    str							=     load_tool('translation'		)
       self.tool.setup()
       lowerCamelCase_							:    Optional[int]							=     load_tool('translation'		,		remote=_snake_case		)






      def      UpperCAmelCase_     (self					:    Any		)       ->   Dict:


       """simple docstring"""






       lowerCamelCase_							:    Optional[Any]							=     self.tool('Hey, what\'s up?'		,		src_lang='English'		,		tgt_lang='French'		)
       self.assertEqual(_snake_case		,		'- Hé, comment ça va?'		)






      def      UpperCAmelCase_     (self					:    Optional[int]		)       ->   Dict:


       """simple docstring"""






       lowerCamelCase_							:    Optional[int]							=     self.remote_tool('Hey, what\'s up?'		,		src_lang='English'		,		tgt_lang='French'		)
       self.assertEqual(_snake_case		,		'- Hé, comment ça va?'		)






      def      UpperCAmelCase_     (self					:    List[str]		)       ->   Optional[int]:


       """simple docstring"""






       lowerCamelCase_							:    Union[str, Any]							=     self.tool(text='Hey, what\'s up?'		,		src_lang='English'		,		tgt_lang='French'		)
       self.assertEqual(_snake_case		,		'- Hé, comment ça va?'		)






      def      UpperCAmelCase_     (self					:    Any		)       ->   Tuple:


       """simple docstring"""






       lowerCamelCase_							:    Optional[int]							=     self.remote_tool(text='Hey, what\'s up?'		,		src_lang='English'		,		tgt_lang='French'		)
       self.assertEqual(_snake_case		,		'- Hé, comment ça va?'		)






      def      UpperCAmelCase_     (self					:    Union[str, Any]		)       ->   Any:


       """simple docstring"""






       lowerCamelCase_							:    str							=     ['Hey, what\'s up?', 'English', 'Spanish']
       lowerCamelCase_							:    Any							=     self.tool(*_snake_case		)

       # There is a single output
       if len(self.tool.outputs		) == 1:
        lowerCamelCase_							:    Any							=     [outputs]

       self.assertListEqual(output_types(_snake_case		)		,		self.tool.outputs		)






      def      UpperCAmelCase_     (self					:    Tuple		)       ->   Optional[Any]:


       """simple docstring"""






       lowerCamelCase_							:    List[str]							=     ['Hey, what\'s up?', 'English', 'Spanish']
       lowerCamelCase_							:    Optional[Any]							=     self.tool(*_snake_case		)

       if not isinstance(_snake_case		,		_snake_case		):
        lowerCamelCase_							:    List[str]							=     [outputs]

       self.assertEqual(len(_snake_case		)		,		len(self.tool.outputs		)		)

       for output, output_type in zip(_snake_case		,		self.tool.outputs		):
        lowerCamelCase_							:    Optional[int]							=     AGENT_TYPE_MAPPING[output_type]
        self.assertTrue(isinstance(_snake_case		,		_snake_case		)		)






      def      UpperCAmelCase_     (self					:    Any		)       ->   Optional[Any]:


       """simple docstring"""






       lowerCamelCase_							:    Dict							=     ['Hey, what\'s up?', 'English', 'Spanish']

       lowerCamelCase_							:    List[str]							=     []

       for _input, input_type in zip(_snake_case		,		self.tool.inputs		):
        if isinstance(_snake_case		,		_snake_case		):
         _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input		) for _input_type in input_type]		)
        else:
         _inputs.append(AGENT_TYPE_MAPPING[input_type](_input		)		)

        # Should not raise an error
       lowerCamelCase_							:    Any							=     self.tool(*_snake_case		)

       if not isinstance(_snake_case		,		_snake_case		):
        lowerCamelCase_							:    Optional[Any]							=     [outputs]

       self.assertEqual(len(_snake_case		)		,		len(self.tool.outputs		)		)
