

"""simple docstring"""




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 			__UpperCamelCase (   unittest.TestCase     ,		_A						):


		def 					SCREAMING_SNAKE_CASE__   (self :		List[str]):
							A			=					load_tool("translation")
							self.tool.setup()
							A			=					load_tool("translation"     ,     remote=__SCREAMING_SNAKE_CASE)


		def 					SCREAMING_SNAKE_CASE__   (self :		Tuple):
							A			=					self.tool("Hey, what's up?"     ,     src_lang="English"     ,     tgt_lang="French")
							self.assertEqual(__SCREAMING_SNAKE_CASE     ,     "- Hé, comment ça va?")


		def 					SCREAMING_SNAKE_CASE__   (self :		Tuple):
							A			=					self.remote_tool("Hey, what's up?"     ,     src_lang="English"     ,     tgt_lang="French")
							self.assertEqual(__SCREAMING_SNAKE_CASE     ,     "- Hé, comment ça va?")


		def 					SCREAMING_SNAKE_CASE__   (self :		Union[str, Any]):
							A			=					self.tool(text="Hey, what's up?"     ,     src_lang="English"     ,     tgt_lang="French")
							self.assertEqual(__SCREAMING_SNAKE_CASE     ,     "- Hé, comment ça va?")


		def 					SCREAMING_SNAKE_CASE__   (self :		int):
							A			=					self.remote_tool(text="Hey, what's up?"     ,     src_lang="English"     ,     tgt_lang="French")
							self.assertEqual(__SCREAMING_SNAKE_CASE     ,     "- Hé, comment ça va?")


		def 					SCREAMING_SNAKE_CASE__   (self :		Any):
							A			=					["Hey, what's up?", "English", "Spanish"]
							A			=					self.tool(*__SCREAMING_SNAKE_CASE)

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

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


		def 					SCREAMING_SNAKE_CASE__   (self :		int):
							A			=					["Hey, what's up?", "English", "Spanish"]
							A			=					self.tool(*__SCREAMING_SNAKE_CASE)

							if not isinstance(__SCREAMING_SNAKE_CASE     ,     __SCREAMING_SNAKE_CASE):
												A			=					[outputs]

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

							for output, output_type in zip(__SCREAMING_SNAKE_CASE     ,     self.tool.outputs):
												A			=					AGENT_TYPE_MAPPING[output_type]
												self.assertTrue(isinstance(__SCREAMING_SNAKE_CASE     ,     __SCREAMING_SNAKE_CASE))


		def 					SCREAMING_SNAKE_CASE__   (self :		str):
							A			=					["Hey, what's up?", "English", "Spanish"]

							A			=					[]

							for _input, input_type in zip(__SCREAMING_SNAKE_CASE     ,     self.tool.inputs):
												if isinstance(__SCREAMING_SNAKE_CASE     ,     __SCREAMING_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
							A			=					self.tool(*__SCREAMING_SNAKE_CASE)

							if not isinstance(__SCREAMING_SNAKE_CASE     ,     __SCREAMING_SNAKE_CASE):
												A			=					[outputs]

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






import json
import os
from dataclasses import dataclass

import numpy as np
import pyarrow as pa

import datasets
from utils import get_duration


_lowerCamelCase    :      int	 =						10_00_00_00_00_00
_lowerCamelCase    :      Union[str, Any]	 =						1_00_00

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





def 		__lowerCamelCase							(UpperCAmelCase__   :							int					,       UpperCAmelCase__   :							int     ):
					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(UpperCAmelCase__					,       fingerprint="table_100B"     )


@dataclass
class   lowercase			:
							lowercase__  :				int
							lowercase__  :				int
							lowercase__  :				int
							lowercase__  :				int




							def 		__snake_case(  self      :    Tuple					)    -> Dict:



												'''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      :    Union[str, Any]					)    -> Dict:



												'''simple docstring'''

												return iter(self._sampled_values					)





							def __len__(  self      :    Any					)    -> int:



												'''simple docstring'''

												return self.size





@get_duration
def 		__lowerCamelCase							(UpperCAmelCase__   :							datasets.Dataset     ):
					SCREAMING_SNAKE_CASE				=				dataset[0]





@get_duration
def 		__lowerCamelCase							(UpperCAmelCase__   :							datasets.Dataset     ):
					SCREAMING_SNAKE_CASE				=				dataset[-1]





@get_duration
def 		__lowerCamelCase							(UpperCAmelCase__   :							datasets.Dataset     ):
					SCREAMING_SNAKE_CASE				=				dataset[range(len(UpperCAmelCase__     ) // 2					,       len(UpperCAmelCase__     ) // 2 + 1_0_2_4     )]





@get_duration
def 		__lowerCamelCase							(UpperCAmelCase__   :							datasets.Dataset     ):
					SCREAMING_SNAKE_CASE				=				dataset[RandIter(0					,       len(UpperCAmelCase__     )					,       1_0_2_4					,       seed=4_2     )]





def 		__lowerCamelCase							():
					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=UpperCAmelCase__					,       chunk_size=UpperCAmelCase__     )
					print("Functions"     )
					for func in functions:
										print(func.__name__     )
										SCREAMING_SNAKE_CASE				=				func(UpperCAmelCase__     )

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


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




