



import json
import os
import tempfile

import transformers

import datasets
from utils import generate_example_dataset, get_duration


UpperCamelCase__ =						50_00_00

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






@get_duration
def  UpperCAmelCase__    (    lowercase__						,       **lowercase__   ) ->      Optional[Any]:
						__lowercase					=				dataset.map(**lowercase__   )






@get_duration
def  UpperCAmelCase__    (    lowercase__						,       **lowercase__   ) ->      Tuple:
						__lowercase					=				dataset.filter(**lowercase__   )






def  UpperCAmelCase__    (    ) ->      Tuple:
						__lowercase					=				{"""num examples""": SPEED_TEST_N_EXAMPLES}
						with tempfile.TemporaryDirectory() as tmp_dir:
												__lowercase					=				datasets.Features({"""text""": datasets.Value("""string"""   ), """numbers""": datasets.Value("""float32"""   )}   )
												__lowercase					=				generate_example_dataset(
												    os.path.join(lowercase__						,       """dataset.arrow"""   )						,       lowercase__						,       num_examples=lowercase__   )

												__lowercase					=				transformers.AutoTokenizer.from_pretrained("""bert-base-cased"""						,       use_fast=lowercase__   )

												def tokenize(lowercase__   ):
																		return tokenizer(examples["""text"""]   )

												__lowercase					=				map(lowercase__   )

												__lowercase					=				map(lowercase__						,       batched=lowercase__   )

												__lowercase					=				map(lowercase__						,       function=lambda lowercase__   : None						,       batched=lowercase__   )

												with dataset.formatted_as(type="""numpy"""   ):
																		__lowercase					=				map(lowercase__						,       function=lambda lowercase__   : None						,       batched=lowercase__   )

												with dataset.formatted_as(type="""pandas"""   ):
																		__lowercase					=				map(lowercase__						,       function=lambda lowercase__   : None						,       batched=lowercase__   )

												with dataset.formatted_as(type="""torch"""						,       columns="""numbers"""   ):
																		__lowercase					=				map(lowercase__						,       function=lambda lowercase__   : None						,       batched=lowercase__   )

												with dataset.formatted_as(type="""tensorflow"""						,       columns="""numbers"""   ):
																		__lowercase					=				map(lowercase__						,       function=lambda lowercase__   : None						,       batched=lowercase__   )

												__lowercase					=				map(lowercase__						,       function=lowercase__						,       batched=lowercase__   )

												__lowercase					=				filter(lowercase__   )

												# Activate later when tokenizer support batched inputs
												# with dataset.formatted_as(type='numpy'):
												#     times[func.__name__ + " fast-tokenizer batched numpy"] = func(dataset, function=tokenize, batched=True)

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


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










def  UpperCAmelCase__    (    lowercase__   ) ->      Optional[int]:
						__lowercase					=				len(lowercase__   )
						__lowercase					=				sum(lowercase__   )

						__lowercase					=				[[False for x in range(s + 1   )] for y in range(n + 1   )]

						for i in range(1						,       n + 1   ):
												__lowercase					=				True

						for i in range(1						,       s + 1   ):
												__lowercase					=				False

						for i in range(1						,       n + 1   ):
												for j in range(1						,       s + 1   ):
																		__lowercase					=				dp[i][j - 1]

																		if arr[i - 1] <= j:
																								__lowercase					=				dp[i][j] or dp[i - 1][j - arr[i - 1]]

						for j in range(int(s / 2   )						,       -1						,       -1   ):
												if dp[n][j] is True:
																		__lowercase					=				s - 2 * j
																		break

						return diff





