
'''simple docstring'''
import os
import time

import numpy as np
import onnxruntime as ort


__lowerCAmelCase												=	'1'
__lowerCAmelCase												=	'0'
__lowerCAmelCase												=	'1'

__lowerCAmelCase												=	ort.SessionOptions()
__lowerCAmelCase												=	ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print('Create inference session...')
__lowerCAmelCase												=	['TensorrtExecutionProvider', 'CUDAExecutionProvider']
__lowerCAmelCase												=	ort.InferenceSession('model.onnx', sess_options=sess_opt, providers=execution_provider)
__lowerCAmelCase												=	ort.RunOptions()

__lowerCAmelCase												=	128
__lowerCAmelCase												=	1
__lowerCAmelCase												=	np.ones((batch, sequence), dtype=np.intaa)
__lowerCAmelCase												=	np.ones((batch, sequence), dtype=np.intaa)
__lowerCAmelCase												=	np.ones((batch, sequence), dtype=np.intaa)

print('Warm up phase...')
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print('Start inference...')
__lowerCAmelCase												=	time.time()
__lowerCAmelCase												=	2_000
__lowerCAmelCase												=	{}
for iter in range(max_iters):
				__lowerCAmelCase												=	sess.run(
				    None,
				    {
				        sess.get_inputs()[0].name: input_ids,
				        sess.get_inputs()[1].name: attention_mask,
				        sess.get_inputs()[2].name: token_type_ids,
				    },
				    run_options=run_opt,
				)
print('Average Inference Time = {:.3f} ms'.format((time.time() - start_time) * 1_000 / max_iters))

'''simple docstring'''
from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url






@pytest.mark.parametrize("""repo_id"""							, ["""canonical_dataset_name""", """org-name/dataset-name"""]				)
@pytest.mark.parametrize("""path"""							, ["""filename.csv""", """filename with blanks.csv"""]				)
@pytest.mark.parametrize("""revision"""							, [None, """v2"""]				)
def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  hf_hub_url(repo_id=_SCREAMING_SNAKE_CASE							, path=_SCREAMING_SNAKE_CASE							, revision=_SCREAMING_SNAKE_CASE				)
							assert url == f"""https://huggingface.co/datasets/{repo_id}/resolve/{revision or "main"}/{quote(_SCREAMING_SNAKE_CASE				)}"""