



"""simple docstring"""







import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin





class   UpperCamelCase	(     unittest.TestCase					,   snake_case       ):




	"""simple docstring"""






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Tuple     =   load_tool("""document-question-answering"""   )
			self.tool.setup()
			_lowercase				: Optional[Any]     =   load_tool("""document-question-answering"""				,remote=UpperCAmelCase_   )






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

			_lowercase				: str     =   self.tool(UpperCAmelCase_				,"""When is the coffee break?"""   )
			self.assertEqual(UpperCAmelCase_				,"""11-14 to 11:39 a.m."""   )






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Optional[int]     =   load_dataset("""hf-internal-testing/example-documents"""				,split="""test"""   )
			_lowercase				: str     =   dataset[0]["""image"""]

			_lowercase				: Dict     =   self.remote_tool(UpperCAmelCase_				,"""When is the coffee break?"""   )
			self.assertEqual(UpperCAmelCase_				,"""11-14 to 11:39 a.m."""   )






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

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






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Any     =   load_dataset("""hf-internal-testing/example-documents"""				,split="""test"""   )
			_lowercase				: List[str]     =   dataset[0]["""image"""]

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







import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


_A									=		50_0000

_A			,	_A									=		os.path.split(__file__)
_A									=		os.path.join(RESULTS_BASEPATH, 'results', RESULTS_FILENAME.replace('.py', '.json'))

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.select(range(0     ,	len(SCREAMING_SNAKE_CASE__							)     ,	2							)							)

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.sort('numbers'							)

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.shuffle()

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.train_test_split(0.1							)

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset     ,	SCREAMING_SNAKE_CASE__     :   int=10							):
     for shard_id in range(SCREAMING_SNAKE_CASE__							):
          __UpperCamelCase       				=dataset.shard(SCREAMING_SNAKE_CASE__     ,	SCREAMING_SNAKE_CASE__							)

def 		_UpperCAmelCase							(     ):
     __UpperCamelCase       				={'num examples': SPEED_TEST_N_EXAMPLES}
     __UpperCamelCase       				=(select, sort, shuffle, train_test_split, shard)
     with tempfile.TemporaryDirectory() as tmp_dir:
          print('generating dataset'							)
          __UpperCamelCase       				=datasets.Features({'text': datasets.Value('string'							), 'numbers': datasets.Value('float32'							)}							)
          __UpperCamelCase       				=generate_example_dataset(
              os.path.join(SCREAMING_SNAKE_CASE__     ,	'dataset.arrow'							)     ,	SCREAMING_SNAKE_CASE__     ,	num_examples=SCREAMING_SNAKE_CASE__							)
          print('Functions'							)
          for func in functions:
               print(func.__name__							)
               __UpperCamelCase       				=func(SCREAMING_SNAKE_CASE__							)

     with open(SCREAMING_SNAKE_CASE__     ,	'wb'							) as f:
          f.write(json.dumps(SCREAMING_SNAKE_CASE__							).encode('utf-8'							)							)


if __name__ == "__main__":  # useful to run the profiler
   benchmark_indices_mapping()





