




import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
							from PIL import Image


class 				__SCREAMING_SNAKE_CASE							(		unittest.TestCase   ,     lowerCamelCase  ):

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Union[str, Any]							   =							load_tool('image-captioning'					)
						self.tool.setup()
						lowerCamelCase_							:		Union[str, Any]							   =							load_tool('image-captioning' ,       remote=__lowercase					)

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Any							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		List[Any]							   =							self.tool(__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Any							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		List[str]							   =							self.remote_tool(__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Union[str, Any]							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		List[str]							   =							self.tool(image=__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)





					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		str							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		Any							   =							self.remote_tool(image=__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)






import json
import os
from dataclasses import dataclass

import numpy as np
import pyarrow as pa

import datasets
from utils import get_duration


UpperCamelCase__              =						1_0_0_0_0_0_0_0_0_0_0_0
UpperCamelCase__              =						1_0_0_0_0

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






def 					snake_case					(							A						,   A			)							->							datasets.Dataset:




	'''simple docstring'''


	lowerCamelCase_							:		int							   =							pa.Table.from_pydict({'col': [0] * chunk_size}			)
	lowerCamelCase_							:		List[str]							   =							pa.concat_tables([table] * (num_examples // chunk_size)			)
	return datasets.Dataset(A						,   fingerprint='table_100B'			)


@dataclass
class 				__SCREAMING_SNAKE_CASE							:
					_lowerCamelCase		  = 42
					_lowerCamelCase		  = 42
					_lowerCamelCase		  = 42
					_lowerCamelCase		  = 42

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Optional[Any]							   =							np.random.default_rng(self.seed					)
						lowerCamelCase_							:		Any							   =							rng.integers(low=self.low ,       high=self.high ,       size=self.size					).tolist()

					def __iter__(				self					):







						'''simple docstring'''




						return iter(self._sampled_values					)





					def __len__(				self					):







						'''simple docstring'''




						return self.size






@get_duration
def 					snake_case					(							A			)							->							Optional[Any]:




	'''simple docstring'''


	lowerCamelCase_							:		Union[str, Any]							   =							dataset[0]






@get_duration
def 					snake_case					(							A			)							->							Any:




	'''simple docstring'''


	lowerCamelCase_							:		List[Any]							   =							dataset[-1]






@get_duration
def 					snake_case					(							A			)							->							Optional[Any]:




	'''simple docstring'''


	lowerCamelCase_							:		Tuple							   =							dataset[range(len(A			) // 2						,   len(A			) // 2 + 1024			)]






@get_duration
def 					snake_case					(							A			)							->							str:




	'''simple docstring'''


	lowerCamelCase_							:		List[str]							   =							dataset[RandIter(0						,   len(A			)						,   1024						,   seed=42			)]






def 					snake_case					(							)							->							List[Any]:




	'''simple docstring'''


	lowerCamelCase_							:		Tuple							   =							{'num examples': SPEED_TEST_N_EXAMPLES}
	lowerCamelCase_							:		Optional[int]							   =							(get_first_row, get_last_row, get_batch_of_aaaa_rows, get_batch_of_aaaa_random_rows)
	print('generating dataset'			)
	lowerCamelCase_							:		List[Any]							   =							generate_100B_dataset(num_examples=A						,   chunk_size=A			)
	print('Functions'			)
	for func in functions:
		print(func.__name__			)
		lowerCamelCase_							:		str							   =							func(A			)

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


if __name__ == "__main__":  # useful to run the profiler
							benchmark_table_100B()
