






'''simple docstring'''







import json
import os
from dataclasses import dataclass

import numpy as np
import pyarrow as pa

import datasets
from utils import get_duration


_A      :     Union[str, Any]       	=100_000_000_000
_A      :     List[Any]       	=10_000

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





def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			Union[str, Any]:
							lowerCamelCase__   :      int			    =			pa.Table.from_pydict({"""col""": [0] * chunk_size} )
							lowerCamelCase__   :      int			    =			pa.concat_tables([table] * (num_examples // chunk_size) )
							return datasets.Dataset(_a							,     fingerprint="""table_100B""" )

@dataclass
class _lowercase      :
							a							 =			42
							a							 =			42
							a							 =			42
							a							 =			42




							def 						lowerCamelCase_							(				self:							List[str]	):
														lowerCamelCase__   :      Tuple			    =			np.random.default_rng(self.seed	)
														lowerCamelCase__   :      Any			    =			rng.integers(low=self.low     ,				high=self.high     ,				size=self.size	).tolist()




							def __iter__(				self:							Tuple	):
														return iter(self._sampled_values	)




							def __len__(				self:							Dict	):
														return self.size





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase ) ->			Union[str, Any]:
							lowerCamelCase__   :      Any			    =			dataset[0]





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase ) ->			int:
							lowerCamelCase__   :      Optional[int]			    =			dataset[-1]





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase ) ->			int:
							lowerCamelCase__   :      Tuple			    =			dataset[range(len(_a ) // 2							,     len(_a ) // 2 + 1024 )]





@get_duration
def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase ) ->			Union[str, Any]:
							lowerCamelCase__   :      List[Any]			    =			dataset[RandIter(0							,     len(_a )							,     1024							,     seed=42 )]





def 					SCREAMING_SNAKE_CASE_			() ->			Union[str, Any]:
							lowerCamelCase__   :      Tuple			    =			{"""num examples""": SPEED_TEST_N_EXAMPLES}
							lowerCamelCase__   :      Union[str, Any]			    =			(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__   :      Tuple			    =			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()







'''simple docstring'''







A					       =[[0, 1, 1], [0, 0, 1], [1, 0, 0]]


class      _a    :
       def __init__(      self		:      Optional[int]  ,							lowercase		:      str							):



           '''simple docstring'''

           UpperCAmelCase     			=						name
           UpperCAmelCase     			=						[]
           UpperCAmelCase     			=						[]
       def        A (      self		:      Union[str, Any]  ,							lowercase		:      int							):



           '''simple docstring'''

           self.inbound.append(lowercase							)
       def        A (      self		:      List[str]  ,							lowercase		:      Optional[Any]							):



           '''simple docstring'''

           self.outbound.append(lowercase							)







       def __repr__(      self		:      Any							):



           '''simple docstring'''

           return f"<node={self.name} inbound={self.inbound} outbound={self.outbound}>"






def 		snake_case_				(_a      :				str       ,  _a      :				str=3       ,  _a      :				Any=0.85	):
    UpperCAmelCase     			=						{}
    for node in nodes:
        UpperCAmelCase     			=						1

    UpperCAmelCase     			=						{}
    for node in nodes:
        UpperCAmelCase     			=						len(node.outbound	)

    for i in range(_a	):
        print(F"======= Iteration {i + 1} ======="	)
        for _, node in enumerate(_a	):
            UpperCAmelCase     			=						(1 - d) + d * sum(
                ranks[ib] / outbounds[ib] for ib in node.inbound	)
        print(_a	)





def 		snake_case_				():
    UpperCAmelCase     			=						list(input('''Enter Names of the Nodes: '''	).split()	)

    UpperCAmelCase     			=						[Node(_a	) for name in names]

    for ri, row in enumerate(_a	):
        for ci, col in enumerate(_a	):
            if col == 1:
                nodes[ci].add_inbound(names[ri]	)
                nodes[ri].add_outbound(names[ci]	)

    print('''======= Nodes ======='''	)
    for node in nodes:
        print(_a	)

    page_rank(_a	)


if __name__ == "__main__":
   main()




