
import os
import time

import numpy as np
import onnxruntime as ort


SCREAMING_SNAKE_CASE__   :			Optional[Any]												=    "1"
SCREAMING_SNAKE_CASE__   :			Union[str, Any]												=    "0"
SCREAMING_SNAKE_CASE__   :			int												=    "1"

SCREAMING_SNAKE_CASE__   :			Dict												=    ort.SessionOptions()
SCREAMING_SNAKE_CASE__   :			Any												=    ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print("Create inference session...")
SCREAMING_SNAKE_CASE__   :			List[str]												=    ["TensorrtExecutionProvider", "CUDAExecutionProvider"]
SCREAMING_SNAKE_CASE__   :			Optional[int]												=    ort.InferenceSession("model.onnx", sess_options=sess_opt, providers=execution_provider)
SCREAMING_SNAKE_CASE__   :			str												=    ort.RunOptions()

SCREAMING_SNAKE_CASE__   :			Optional[Any]												=    128
SCREAMING_SNAKE_CASE__   :			List[str]												=    1
SCREAMING_SNAKE_CASE__   :			List[Any]												=    np.ones((batch, sequence), dtype=np.intaa)
SCREAMING_SNAKE_CASE__   :			Any												=    np.ones((batch, sequence), dtype=np.intaa)
SCREAMING_SNAKE_CASE__   :			List[str]												=    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...")
SCREAMING_SNAKE_CASE__   :			Union[str, Any]												=    time.time()
SCREAMING_SNAKE_CASE__   :			Union[str, Any]												=    2_000
SCREAMING_SNAKE_CASE__   :			int												=    {}
for iter in range(max_iters):
					SCREAMING_SNAKE_CASE__   :			Union[str, Any]												=    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))





from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors




def  __magic_name__ (   __lowerCAmelCase	:						int							)			->   int:
				__lowerCamelCase    					=	prime_factors(__lowerCAmelCase							)
				if is_square_free(__lowerCAmelCase							):
								return -1 if len(__lowerCAmelCase							) % 2 else 1
				return 0


if __name__ == "__main__":
					import doctest

					doctest.testmod()



