




import json
import os
from dataclasses import dataclass

import numpy as np
import pyarrow as pa

import datasets
from utils import get_duration


SCREAMING_SNAKE_CASE:    str											=   1_0_0_0_0_0_0_0_0_0_0_0
SCREAMING_SNAKE_CASE:    str											=   1_0_0_0_0

SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE:    Any											=   os.path.split(__file__)
SCREAMING_SNAKE_CASE:    Union[str, Any]											=   os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  datasets.Dataset:
  SCREAMING_SNAKE_CASE_							=       pa.Table.from_pydict({'col': [0] * chunk_size}   )
  SCREAMING_SNAKE_CASE_							=       pa.concat_tables([table] * (num_examples // chunk_size)   )
  return datasets.Dataset(__a						,	fingerprint='table_100B'   )



@dataclass
class       lowercase_		:
      lowerCAmelCase__ 			=42
      lowerCAmelCase__ 			=42
      lowerCAmelCase__ 			=42
      lowerCAmelCase__ 			=42



      def   __a				( self  :      List[Any]     ):

        """simple docstring"""

        SCREAMING_SNAKE_CASE_							=       np.random.default_rng(self.seed     )
        SCREAMING_SNAKE_CASE_							=       rng.integers(low=self.low				,       high=self.high				,       size=self.size     ).tolist()



      def __iter__( self  :      Optional[int]     ):

        """simple docstring"""

        return iter(self._sampled_values     )






      def __len__( self  :      str     ):

        """simple docstring"""

        return self.size


@get_duration
def 				_a       (				lowerCAmelCase   )->  Tuple:
  SCREAMING_SNAKE_CASE_							=       dataset[0]


@get_duration
def 				_a       (				lowerCAmelCase   )->  Union[str, Any]:
  SCREAMING_SNAKE_CASE_							=       dataset[-1]


@get_duration
def 				_a       (				lowerCAmelCase   )->  List[Any]:
  SCREAMING_SNAKE_CASE_							=       dataset[range(len(__a   ) // 2						,	len(__a   ) // 2 + 1024   )]


@get_duration
def 				_a       (				lowerCAmelCase   )->  List[Any]:
  SCREAMING_SNAKE_CASE_							=       dataset[RandIter(0						,	len(__a   )						,	1024						,	seed=42   )]


def 				_a       (				)->  Tuple:
  SCREAMING_SNAKE_CASE_							=       {'''num examples''': SPEED_TEST_N_EXAMPLES}
  SCREAMING_SNAKE_CASE_							=       (get_first_row, get_last_row, get_batch_of_aaaa_rows, get_batch_of_aaaa_random_rows)
  print('generating dataset'   )
  SCREAMING_SNAKE_CASE_							=       generate_100B_dataset(num_examples=__a						,	chunk_size=__a   )
  print('Functions'   )
  for func in functions:
    print(func.__name__   )
    SCREAMING_SNAKE_CASE_							=       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()





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


SCREAMING_SNAKE_CASE:    List[str]											=   '''
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
'''



class       lowercase_		(unittest.TestCase       ,  SCREAMING_SNAKE_CASE__   ):



						def   __a				( self  :      Dict     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       load_tool('summarization'     )
								self.tool.setup()
								SCREAMING_SNAKE_CASE_							=       load_tool('summarization'				,       remote=snake_case__     )



						def   __a				( self  :      Union[str, Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tool(snake_case__     )
								self.assertEqual(
								    snake_case__				,       'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'				,       )



						def   __a				( self  :      List[str]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.remote_tool(snake_case__     )
								self.assertEqual(
								    snake_case__				,       'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'				,       )



						def   __a				( self  :      Optional[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tool(text=snake_case__     )
								self.assertEqual(
								    snake_case__				,       'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'				,       )






						def   __a				( self  :      List[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.remote_tool(text=snake_case__     )
								self.assertEqual(
								    snake_case__				,       'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'				,       )