34 lines
1.5 KiB
Plaintext
34 lines
1.5 KiB
Plaintext
---
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title: AskData
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description: API reference for qiskit.algorithms.optimizers.AskData
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in_page_toc_min_heading_level: 1
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python_api_type: class
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python_api_name: qiskit.algorithms.optimizers.AskData
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---
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# AskData
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<Class id="qiskit.algorithms.optimizers.AskData" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.23/qiskit/algorithms/optimizers/steppable_optimizer.py" signature="AskData(x_fun=None, x_jac=None)" modifiers="class">
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Bases: `abc.ABC`
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Base class for return type of [`ask()`](qiskit.algorithms.optimizers.SteppableOptimizer#ask "qiskit.algorithms.optimizers.SteppableOptimizer.ask").
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**Parameters**
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* **x\_fun** (`Union`\[`float`, `ndarray`, `List`\[`Union`\[`float`, `ndarray`]], `None`]) – Point or list of points where the function needs to be evaluated to compute the next
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* **optimizer.** (*the next state of the*) –
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* **x\_jac** (`Union`\[`float`, `ndarray`, `List`\[`Union`\[`float`, `ndarray`]], `None`]) – Point or list of points where the gradient/jacobian needs to be evaluated to compute
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* **optimizer.** –
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## Attributes
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### x\_fun
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<Attribute id="qiskit.algorithms.optimizers.AskData.x_fun" attributeTypeHint="Optional[Union[float, numpy.ndarray, List[Union[float, numpy.ndarray]]]]" attributeValue="None" />
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### x\_jac
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<Attribute id="qiskit.algorithms.optimizers.AskData.x_jac" attributeTypeHint="Optional[Union[float, numpy.ndarray, List[Union[float, numpy.ndarray]]]]" attributeValue="None" />
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</Class>
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