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The minimal sample code as follows:
import jijmodeling as jm
import jijzept as jz
x = jm.BinaryVar('x')
y = jm.BinaryVar('y')
problem = jm.Problem('sample_problem')
problem += - x * y
sampler = jz.JijSASampler(config='config.toml')
response = sampler.sample_model(problem, {})
print(response)
Write a configuration file for connecting to JijZept in config.toml
and put it in the config
argument of the Sampler constructor.
The configuration file should be written in TOML format as follows.
[default]
url = "***"
token = "****"
Copy and paste the assigned API endpoint into the url
and your token into token
in the configure file.
またデフォルトでは同期モード
になっているため、APIに投げて計算が終わるで待ってから解を得ることになります。
同期モード
をオフにして非同期でJijZeptを使うには以下の手順で答えを得ることができます。
非同期モードでAPIを使いたい場合は、.sample_*
の引数で、async=False
にして同期モードをオフにする必要があります。
サンプルコード
import jijmodeling as jm
import jijzept as jz
from jijzept.response import APIStatus
x = jm.BinaryVar('x')
y = jm.BinaryVar('y')
problem = jm.Problem('sample_problem')
problem += - x * y
sampler = jz.JijSASampler(config='config.toml')
response = sampler.sample_model(problem, {}, sync=False)
if response.status == APIStatus.SUCCESS:
print(response)
elif response.status == APIStatus.PENDING:
print('Solver status: PENDING')
else:
print('Error')
非同期モードでも .sample_*
の返り値は 同期モード
と同じくJijModelingResponse
クラスです。
ですが、解が入っていない可能性があります(非同期モードでも一度だけ解を取りに行っているので計算時間が短いと解をもっている可能性もあります)。
解を取りに行くためのコードが
response = response.get_result()
です。また.get_result
は返り値をもつ非破壊メソッドです。
計算が終了したかどうかはget_result
の返り値の.status
変数で確認することができます。
from jijzept.response import APIStatus
if response.status == APIStatus.SUCCESS:
print(response)
elif response.status == APIStatus.PENDING:
print('Solver status: PENDING')
else:
print('Error')
FAQs
Python Interface for Jij-Zept.
We found that jijzept demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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