





import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin





class 	lowerCAmelCase__(       unittest.TestCase     ,   __lowercase			):






       '''simple docstring'''


       def 			UpperCamelCase_	(					self							)	->   Tuple:
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							load_tool("document-question-answering"							)
            self.tool.setup()
            _SCREAMING_SNAKE_CASE				:		Dict  			=							load_tool("document-question-answering"			,  remote=__lowerCamelCase							)




       def 			UpperCamelCase_	(					self							)	->   Any:
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							dataset[0]["image"]

            _SCREAMING_SNAKE_CASE				:		Tuple  			=							self.tool(__lowerCamelCase			,  "When is the coffee break?"							)
            self.assertEqual(__lowerCamelCase			,  "11-14 to 11:39 a.m."							)




       def 			UpperCamelCase_	(					self							)	->   Any:
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							dataset[0]["image"]

            _SCREAMING_SNAKE_CASE				:		Tuple  			=							self.remote_tool(__lowerCamelCase			,  "When is the coffee break?"							)
            self.assertEqual(__lowerCamelCase			,  "11-14 to 11:39 a.m."							)




       def 			UpperCamelCase_	(					self							)	->   Dict:
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							dataset[0]["image"]

            self.tool(document=__lowerCamelCase			,  question="When is the coffee break?"							)







       def 			UpperCamelCase_	(					self							)	->   Optional[Any]:
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							load_dataset("hf-internal-testing/example-documents"			,  split="test"							)
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							dataset[0]["image"]

            _SCREAMING_SNAKE_CASE				:		Any  			=							self.remote_tool(document=__lowerCamelCase			,  question="When is the coffee break?"							)
            self.assertEqual(__lowerCamelCase			,  "11-14 to 11:39 a.m."							)






'''simple docstring'''







import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils





class     _UpperCAmelCase							(						unittest.TestCase   ):
		@patch("""diffusers.utils.hub_utils.get_full_repo_name"""			)
		def   lowerCamelCase__			(  self,__SCREAMING_SNAKE_CASE			):



					'''simple docstring'''

					__lowerCAmelCase											=				"""full_repo_name"""
					with TemporaryDirectory() as tmpdir:
								# Dummy args values
								__lowerCAmelCase											=				Mock()
								__lowerCAmelCase											=				tmpdir
								__lowerCAmelCase											=				0
								__lowerCAmelCase											=				"""hub_token"""
								__lowerCAmelCase											=				"""dataset_name"""
								__lowerCAmelCase											=				0.01
								__lowerCAmelCase											=				10_00_00
								__lowerCAmelCase											=				1_00_00
								__lowerCAmelCase											=				0.01
								__lowerCAmelCase											=				0.02
								__lowerCAmelCase											=				0.03
								__lowerCAmelCase											=				0.0005
								__lowerCAmelCase											=				0.00_0001
								__lowerCAmelCase											=				1
								__lowerCAmelCase											=				10
								__lowerCAmelCase											=				0.001
								__lowerCAmelCase											=				0.1
								__lowerCAmelCase											=				0.2
								__lowerCAmelCase											=				True

								# Model card mush be rendered and saved
								diffusers.utils.hub_utils.create_model_card(__SCREAMING_SNAKE_CASE,model_name="""model_name"""			)
								self.assertTrue((Path(__SCREAMING_SNAKE_CASE			) / """README.md""").is_file()			)

